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Institute of Robotics and Mechatronics

Research carried out in the DLR Institute of Robotics and Mechatronics is based on the interdisciplinary (virtual) design, computer-aided optimisation and simulation, as well as implementation of complex mechatronic systems and man-machine interfaces. The institute is regarded as one of the worldwide leading institutions in the field of robotics.

 
Research Line Up
Mobile Humanoid „Rollin' Justin“
In the future humanoid robots are envisioned in household applications as well as in space environments. The capability to carry out complex manipulation tasks is a key issue. For its achievement the development of robust control strategies and intelligent manipulation planners for dual handed manipulation is currently a matter of active research in the robotics community.

The mobile robotic system Justin with its compliant controlled light weight arms and its two four finger hands is an ideal experimental platform for these research issues. The newly developed mobile platform allows the long range autonomous operation of the system. The individually movable, spring born wheels match the special requirements of “Justin's” upper body during manipulation tasks. PMD sensors and cameras allow the 3D reconstruction of the robot's environment and therefore enable Justin to perform given tasks autonomously.
 
 
Justin
Two-arm-system for investigation of two handed manipulation
The development of humanoid robots has made significant progress in the last years. Impressive walking robot systems were developed. The capabilities of these robots to manipulate objects or interact with their surrounding are quite limited.

The objective of our development was to build a manlike upper body with two arms and two hands. The system is used to test programming and control concepts for two-handed mobile manipulation.
Modular configuration
The system design uses preliminary works of the institute, namely the DLR light weight robot (LWR) and the DLR hand. The torso based on LWR technology and the newly developed mobile platform enlarge the workspace of the arms and hands in a human like manner, by using coordinated arm and leg movements. The modular design of the LWR and the DLR hands enables the configuration of a human-like left and right arm.

The upper body holds a total of 43 controllable degrees of freedom, equipped with link side torque sensors which enable the impressively sensitive manipulation capabilities.
Mobile Platform
The mobile robotic system Justin with its compliant controlled lightweight arms and its two four fingered hands is an optimal experimental platform for the study of complex manipulation tasks.
The newly developed mobile platform allows the long distance autonomous operation of the system. It pushes the system forward towards an universal service robotic platform.
 
 
DLR Light-Weight Robot (LWR)
Hands need arms... and vice versa. We have long experience with the development of light-weight robot arms, which exhibit a 1:1 force:weight ratio, are accurate yet so fast you can catch balls with them.
 
DLR Light-Weight Robot (LWR)
The Institute of Robotics and Mechatronics plays a major role in the field of applied robotics. Three generations of light-weight robots have been developed so far. The latest version has, like its predecessors, an outstanding load-to-weight ratio. The robot weighs just 13.5 kg and is able to handle loads up to 15 kg. Since the early nineties we had set the goal to develop a robot with a load to weight ratio of at least 1:1. LWR III turned this dream into reality.
 
Construction
The DLR Light Weight Robot (LWR) is a light-weight, flexible, revolute joint robot, which by its overall sensoric equipment is especially dedicated for work in the sensitive area of human interaction. The robots size, power and manipulation capabilities are fairly similar to that of a human arm. The robot can be connected to any gripper or tool by a standard robot interface flange, which can also be operated over internal supply lines.
 
Current Control for Light-Weight Robots
Like in most of AC servo drive systems the cascade control structure is adapted in the LWR in which the current control is the most inner loop. To achieve high performance in torque and position loop the current loop is important, because the bandwidth of the outer loop depends directly on the bandwidth of the current loop. It must have the widest bandwidth in the system and zero or nearly zero steady-state error. The outer loop is realised on a floating point DSP and the current loop works on a fixed point motion control DSP.

A high-performance AC servo drive demands a cycle time of current control lower than 40µs. The permanent magnet synchronous motors of LWR are designed with low inertia and very low leakage inductance to make a fast current response possible. This implies that the switching frequency of the PWM inverter has to be in a range from 20kHz to 40kHz. The used switching frequency of the LWR is 20kHz. To meet the high demands on current control we use double update mode of the PWM generator that means that the maximum time for the whole current control cycle is only 25µs.

The well adapted PI current controller is designed to achieve high motor performance in such a way that the bandwidth of the current controller is larger than the bandwidth of a traditional one, although the proportional gain is within the limits of a traditional PI controller. With this optimal current controller the step response can reach its reference value within 250µs.

The last member of the current controller is the Space-Vector PWM modulator. It includes a six-step over-modulation mode to be able to generate the switching sequence by which the highest fundamental output voltage can yield to extend the speed range of the joint.

 
Dextrous Robot Hands
Our experience in developing, building and using dextrous robot hands reaches back to 1993. Our workscope covers all areas from multisensory mechatronic hand design up to control of the hands including telemanipulation, autonomous grasping and manipulation. The experiences gained with the real system result in new requirements for the next generation design steps.
 

DLR Hand II
Following our mechatronic design approach the current generation of dextrous robot hands at our lab - DLR Hand II - is a reliable, flexible and powerful multisensory and fully integrated design with a hot pluggable tool retainer and is rated as one of the most advanced and complex artificial hands in the world.

 
Hand II
Hand II holding a bottle in power grasp
With accurate force sensors, even an egg can be held...
 
Hand II holding a cup-and-saucer in pinch grasp
Hand II with solder pen
DLR Hand II in power grasp
 
DLR-HIT-Hand - Multisensory 4-Finger-Hand
In the category 07. Industry & Construction, the DLR-HIT-Hand wins the prestigious 2007 iF design award. Quoting the reviewers, "The design clearly cites the extensor ligaments on the back of the hand, shows a line of life in the palm, and nails are indicated in the distal phalanxes. The whole hand looks very human-like and natural. This results in a high acceptance in human applications." (PDF)

A commercially available 4-Finger Hand
Based on the DLR Hand II, HIT (Harbin Institute of Technology) and DLR (German Aerospace Center) have jointly developed a multisensory robot hand. This hand, sold by Schunk as "SAH", demonstrates that highly advanced mechatronics can be embedded in applications at the medium-cost range.

The hand consists of four identical fingers, one of which is equipped with an additional drive, that functions as an opposing “thumb”. In order to correspond to the human motor functions, each finger is made up of four joints. For the Where and How, sensors at the fingers provide the force and positioning data for each joint, among others. The perfect integration of all drives including electronics in fingers and palm enables the mounting to any robot arm.
 
DLR-RM wins the iF product design award 2009: The DLR-HIT Hand II
 
3D Modeller
 
The DLR Multisensory 3D-Modeller (3DMo)
A “Multisensory 3D modeller” was developed to evaluate different sensor principles and sensor fusion for the generation of photorealistic 3D models. The Modeller can be used hand-guided or automated on a robotic system. Thus, robots should be able to build a photorealistic model of their environment by moving around an end effector equipped with different sensors (a so-called Eye-in-Hand system)
Sensor Components
The Multisensory 3D-Modeller integrates to date 3 range sensing principles, a laser-range scanner, a laser-stripe profiler, and stereo vision as well as surface texture acquisition
Sensor Synchronisation and Calibration
The concept of multisensory data acquisition in real-time, as realized by the DLR Multisensory 3D-Modeller, demands a time synchronisation concept as well as spatial calibration routines to display the 3D sensor data in the same world coordinate frame.
 
Medical Robotics
In the last decades robotics and mechatronics have found their way into many medical applications. Especially surgery has shown large potential for the use of robotic systems. The goal in medical robotics is thereby not to replace the surgeon by a robot, but to provide the surgeon with new treatment options to the benefit of the patient. Although this technology is still in its early stages, it will significantly change future surgery. The Institute of Robotics and Mechatronics contributes to this process by several research activities which reach from the development of a universal surgical robot and sensorized surgical instruments over advanced telemanipulation concepts to intraoperative autonomous functions and preoperative planning and registration.
 
MIRO / KineMedic
MIRO – A versatile robot for medical applications
The DLR MIRO is the second generation of versatile robot arms for surgical applications, developed at the Institute for Robotics and Mechatronics. With its low weight of 10 kg and dimensions similar to those of the human arm, the MIRO robot can assist the surgeon directly at the operating table where space is sparse. The planned scope of applications of this robot arm ranges from guiding a laser unit for the precise separation of bone tissue in orthopaedics to setting holes for bone screws, robot-assisted endoscope guidance and on to the multi-robot concept for (endoscopic) minimal invasive surgery.

The DLR MIRO wins the iF product design award 2009 in the category "advanced studies". The design of the DLR MIRO has been created in cooperation with Tilo Wüsthoff - Industrial design, Munich.
Actuated and sensorized surgical instruments
In recent years minimally invasive surgery (MIS) has been established more and more. Access to the operation site is gained through small incisions in the patient’s skin using long, slender instruments. Since direct manual access to the operation site is restricted, surgeons have to train new operation techniques and learn to overcome the loss of haptic and tactile information.
MiroSurge - Telemanipulation in minimally invasive surgery
Minimally invasive surgery (MIS) challenges the surgeon’s skills due to his separation from the operation area which can be reached by long instruments only. To overcome the drawbacks of conventional MIS the DLR works on a research system for telrobotic endoscpic surgery.
 
Motion Compensation in Minimally Invasive Heart Surgery
Motion compensation is a highly desired functionality in minimally invasive beating heart surgery. Before motion compensation in beating heart surgery can be performed, organ motion arising from the patient's respiration or heart beat has to be coped with. Therefore, the reliable measurement of this motion is an essential part of an advanced minimally invasive robotic surgery system.
Robot-assisted endoscope guidance
During manual laparoscopic interventions, the surgeon does not have direct visual control of the operating field as in open surgery, but orientates himself by the laparoscopic image displayed on a monitor. It is the task of an assistant to guide the laparoscope such that the field of view is optimal for the surgeon.
Preoperative Planning and Registration
One key aspect necessary for a successful minimally invasive intervention is preoperative planning, done by the surgeon in order to prepare the intervention and to decide about the best access to the surgical site. In case of robotically assisted interventions the results of these decisions must be transferred also to the robotic equipment.
 
DLR-Herz
 
Brain-Spatula
Since more than 30 years neuron surgery doctors have been using passive mechanical arm, Brain spatula, for the brain operation. This device has to be held carefully by an experienced doctor to keep a small constant force. As the operation takes longer, it will be very difficult for him to manually keep the constant force, and if there is a sudden change in kept force, the brain tissue will be damaged and the patients will have danger of life.
 
 
Mechatronic devices
 
Force-Reflecting Joystick
Numerous simple command tasks in telerobotics and telepresence can be accomplished with human machine interfaces with a maximum of two or three degrees of freedom (DoF). For this kind of applications the joystick represents a very intuitive way to command a teleoperator or an object within a virtual environment in two DoF.
Miniature Force-Torque Sensor
The newly developed miniature six-component force/torque sensor (20mm in diameter and 16mm in height, patent pending) with full digital output has been developed for the fingertip of the new generation dexterous robot hand DLR Hand-II . It consists of a transducer, high-flex cable, and intelligent DSP based ISA controller. The force and torque measure ranges are 10N for Fx and Fy,40N for Fz, 150Nmm for Mx, My and Mz respectively. Also a 200% mechanical overload protection is provided in the structure.

DSP-Based Interface Systems
DSP-based interface card provides an easy interface between a computer (IBM-AT bus) and a fingertip force/torque transducer.
Linear Drive Cylinder
The DLR Mechatronic Linear Drive Cylinder is much more than a standard linear drive system. Equipped with a force sensor and two position sensors, the DLR linear drive extends to a position-impedance controlled actuator. With these characteristics, the DLR linear drive constitutes a new actuator technology with many new potential applications, such as steer-by-wire.

Due to the torsion-stabilized lifting mechanism, the DLR Linear Drive can quickly and reliably be integrated without any additional effort. The integrated miniaturized 16-bit micro-controller H8S2134 enables on-board control of position and impedance, as well as the connectivity via the standard serial I/O-interfaces (RS-422 or RS-232).
 
Bionics
Efficiency and flexibility of biological systems is still unreached in current robotic systems. Biological evolution formed highly specialized systems, perfectly designed with respect to material, force-to-weight ratio and energy turnover. This can be seen in the human hand, the musculoskeletal construction of which has only recently been understood in all its detail.

Although technical hands, such as the highly integrated DLR Four-Finger Hand, can already be used in a large range of applications, such hands are far from offering an alternative to the human hand, because of size and flexibility. Furthermore, a sensor with properties close to those of the human skin is far from being available to robotic hands.

To reach the same dexterity as the human hand, our solution is to construct a precise kinematic model of the human hand using in vivo MRT (magnetic resonance tomography)-data and constructing a model and robotic hand-arm system from that. The resulting robot hand will be very human-like, and can therefore be optimally connected to and controlled by the human peripheral and central nervous systems.

To ensure an optimal connection between robot and human, we investigate various interfaces:
Non-invasive: We concentrate on electromyography (EMG), placing electrodes on the skin to measure muscular activity. This approach is ideally suited for, e.g., active hand prostheses;
Invasive: We investigate a connection to the human peripheral nervous system (PNS) by inserting electrodes into nerve fibres.

In order to deliver sensory data back to its operator we develop an artificial skin-like touch sensor, based on properties of the human sensitive skin.

Biological systems are brilliant regarding their computational efficiency, complexity and adaptability. Therefore, we complete the system by carefully investigating biologically inspired cerebellum-based control strategies.
 
Artificial Skin - A robot's personal touch
With robotic systems moving out of isolated working environments and into our everyday life the need for advanced sensory capabilities increases. Pressure-sensitive skin-like coatings allow robots to interact in a secure and much more precise manner with their surroundings.
EMG-controlled robot hand for rehabilitation
The principal goal of this work is the design and experimentation of an actuated exoskeleton like the DLR-4-finger-hand for functional hand recovery of a subject, who have partially lost the ability to control correctly the hand musculature. These disabilities can result from a stroke, a spinal cord injure or a hand replantation.
Human-like ball catching
DLR is doing ball catching with the Light Weight Robot for some years now. The idea of this project is to examine human ball catching and see if a human-like catching strategy does enhance the robots performance. Furhtermore the new hand-arm-system DLR is developing right now is very anthropomorphic and shall thus behave and move in a human like way.
 
Kinematics of the human hand
We are working on a precise kinematical model of the human hand and its respective bone and joint positions in grasping and other movements, generated from in vivo MRT-data that takes in account every single bone and its 3D orientation in space in relation to the time of each grasping action or other movement.
Estimating arm stiffness by EMG-data
Defining the Cartesian stiffness matrix of impedance-controlled robots is a quite heuristic task. Additionally, it's necessary to adapt this stiffness matrix to different desired movements and robot tasks. Each human being has been learning to control the limbs' stiffness since birth. As a result, the controlling of stiffness is on a very high level. For this reason, we want to learn the mechanisms taking place in the human arm and transfer this knowledge to our robot systems.
Simulation of the elbow joint
For a better understanding of the arm stiffness a simulation of the elbow joint should be developed. The model stated on the right side was written in Matlab. The basis for the muscle contraction is the muscle model developed for Hill. This model contains three elements: one active element (CE) and two passive elements (SE, PE).The active element is described as an attenuator. The passive elements are described as plumes.
 
 
Telepresence & VR
In our telepresence and virtual reality setups, a human operator immerses him/herself into a remote or virtual environment and controls a tele-operated device on motion and force level. By means of a multimodal human machine interface (HMI) the human perceives and acts as in the real world. Telerobotic systems, in contrast to telepresence systems, are implemented if the delay is too large to include the human operator into the control loop, or if the task can be performed semi-autonomously, i.e. the teleoperator acts according to its pre- or tele-programmed behaviour and the operator supervises the task execution.

Our research group places special emphasis on the haptic feedback which is used for exploring virtual or remote environments more realisticly. Haptics (from Greek haptikos “able to touch or grasp”) is related to the perception and manipulation of objects using the senses of touch and proprioception. By means of haptic feedback it is intended to imitate the touch and kinesthetic sensations that a human would feel while manipulating objects with his/her hands in the real world. Providing the user with haptic feedback is essential even for simple human activities that involve handling objects.

Technologies in order to achieve these goals are developed at the Institute.
 
Telerobotics
In telerobotics a human operator commands a remote robot. The separation of robot and human operator may occur due to spatial distance, hazardous environmental conditions, scaling, or even matter, in the case of virtual environments.

Telerobotic systems, in contrast to or in combination with telepresence systems, are implemented if the delay is too large to include the human operator into the control loop, or if the task can be performed semi-autonomously, i.e. the teleoperator acts according to its pre- or tele-programmed behaviour and the operator supervises the task execution. The elements for this operation mode are:
  • a virtual model of the real world which is updated with real sensor readings,
  • a programming by-demonstration interface and
  • a shared control functionality.
Telepresence
In telepresence, the human operator will immerse into a remote environment and control a tele-operated device on a motion / force level. By means of a multimodal human machine interface (HMI) the human perceives and acts as in the real world. Generally, the modalities vision, audio and haptics play a superior role in human perception, when manipulation is required. From the robotics and control point of view, the haptic channel is of major interest, since it couples a human operator with a remote / distant teleoperator by energetic means.

Bilateral Control
Bilateral Control is the discipline which investigates the closed haptic loop created between the human operator and the remote / unreachable environment. Special control methods are hereby applied in order to stabilize an often very large loop whose communication delay, package loss inclusion, unavoidable nonlinearities and the inclusion of a human operator in the control loop make it especially challenging to tackle.
Haptic Rendering applied to Virtual Reality
Nowadays, virtual reality technologies are able to generate realistic images of virtual scenes that can hardly be distinguished from photographs. The next step towards increasing the level of reality is to make possible intuitively manipulating objects in a virtual scene, while feeding back haptic information to the human user.

The research project on haptic rendering focuses on this topic. A human user moves the bimanual haptic interface [HMI], which is coupled to virtual objects, while a haptic rendering algorithm detects collisions between virtual objects and computes appropriate collision forces. These forces are displayed to the user via the haptic interface.

On the other hand, processing the position of the virtual objects, an image of the virtual environment can be rendered and displayed to the user through a Head-Mounted Display or a 3D projection. Combining visual and haptic feedback makes possible for humans to deeply immerse into virtual reality simulations.

 
Vision
Today in robotics, computer vision in a broad sense can be regarded as the key technology for realizing systems with an enhanced level of autonomy. In this domain, we tackle problems from a wide methodological range, from image-based tracking to scene understanding and world modeling. With such a broad scope, we can address application demands as diverse as rapid visual servoing and flexible adaptive behavior for a robot system, or generation of photo-realistic representations in a virtual-reality context.
 
Object Recognition and Scene Analysis
From a universal perspective, it is the goal of machine vision to determine for an artificial agent where in the environment things are and what they are. Answering these two questions constitutes a scene interpretation in the generic sense.
Tracking and Servoing
When a rigid object moves in 3D space relative to a camera, it is often interesting to know how its relative pose changes in its full 6 degrees of freedom (DoF). The problem of 6-DoF tracking arises in the context of numerous applications within and beyond robotics.
Navigation
Basic skills for a mobile robot system are localization and navigation. Any possible service task, such as floor cleaning, fetching and carrying objects, or assistance of the handicapped, requires these skills. Implementing such skills involves answering the questions ``Where am I?'', ``Where am I going?'', and ``How do I get there?''.
 
3D-Modelling
The ever-increasing need for 3D models in robotics and Virtual Reality/Augmented Reality applications required a closer look at this widespread research field. The prerequisites range from fast, i.e. online, model generation, highly accurate models for collision detection and avoidance to photo-realistic models used in VR, i.e. telepresence and tele-operation scenarios.
High-Speed Vision
When a robot has to immediately react to real-world events detected by a vision sensor, high-speed vision is required. This may be a visual servoing task, i.e., the vision sensor is part of the robot’s control loop, or a reaction to a sudden event, such as catching a thrown ball.
Tools
Over the years we have developed some tools of general scope that assist us in various vision projects...
 
Space Robotics
In DLR`s programmatic structure space robotics is a so-called core topic within the program theme “technology for space systems”. This core topic is basically subdivided into the following areas and “internal projects”:

Programmatic goal:
  • Space robot (flight) missions and studies (supported by the national and European space agencies)
  • Supporting technologies and methodologies:
  • lightweight robots
  • articulated hands
  • mechatronic components
  • space robot dynamics
  • tele-robotics / tele-presence
  • autonomy and skill transfer

Space robotics will become a key technology for the exploration of the outer space and the operation and maintenance of space stations, satellites and other platforms, saving costs and relieving man from dangerous tasks.

 
CSA Cooperation - Ground control and dynamics modelling of ISS-robots (MSS)
Canada's contribution to the International Space Station (ISS) is the Mobile Servicing System (MSS), which is composed of the Mobile Remote Servicer Base System (MBS), the Space Station Remote Manipulator System (SSRMS) and the Special Purpose Dexterous Manipula­tor (SPDM).

Until now the planned mode of operations for SSRMS and SPDM is teleoperation by an astronaut at the robotics workstation inside the ISS. But it is predicted that this way to operate the MSS will consume a lot of crew time because of the low velocities at which the SSRMS and SPDM will be operated and because of the poten­tially large displacements to be performed by these manipulators. As an alternative to reduce the load imposed on the astronauts part of the MSS, operations on the MSS could be conducted from a ground station. SSRMS and SPDM provide control modes that would be suitable for ground operations. However, ground control is hampered by communication link limitations such as time delays and reduced bandwidth and by the lack of good situational awareness of the operator. In this context, situational awareness refers to the operator's knowledge of the spatial relationships amongst the work site equipment, features and obstacles. Situational awareness is impeded in any remote operation where the operator is limited only to equipment-mounted camera views with which to perceive the work site. To overcome these limitations a virtual reality approach is mandatory, which gives the operator the realistic feeling having the robotic system always fully under control. This requires a predictive graphical simulation of the entire robotic system on the ground control system, to compensate the relatively high data round trip time (more than 5-6 sec) as well as to provide an easy-to-use user interface for programming, controlling, and supervising the remote robot system. To ensure that MSS operations could be safely carried-out from the ground, it is necessary to demonstrate the proposed ground control technologies within a realistic environment.

Ground-Control Test-Bed
To validate the ground control concept for MSS in a representative environment, a test-bed has been developed on which the MARCO system can be integrated and tested. The objective is to faithfully reproduce the interfaces and dynamics of MSS as well as the communication limitations. One of the main components of the test-bed is the MSS Operation and Training Simulator (MOTS): a real-time dynamics simulator currently used for MSS operator training and for operation planning. It provides a high fidelity simulation of MSS operations accurately emulating the rigid and flexible body dynamics of MSS, its control software including the relevant control modes and features as well as all relevant environmental effects. To simulate MSS ground control from MARCO, CSA has added an interface to MOTS that will allow it to receive commands and transmit telemetry in the same fashion as the MSS will, through the ISS command and telemetry servers.

MARCO
The Modular Architecture for Robot Control (MARCO) developed by DLR is a spin-off of the ROTEX flight experiment conducted by DLR in 1993. Subsequent to this experiment, the ground segment has been further developed to add more and more capabilities to the system. Over the last years, DLR has focused its work in space ro­botics on the design and implementation of a high-level task-directed robot programming and control system. The goal was to develop a unified concept for a flexible, highly interactive, on-line programmable teleoperation ground station as well as an off-line programming system, which includes all the sensor-based control features partly tested in the ROTEX sce­nario. But in addition to the former ROTEX ground station it should have the capability to program a robot system at an implicit, task-directed level, including a high degree of on-board autonomy.
 
Fig. 1 - MARCO Control Methodology
Fig. 3 - Architecture: MARCO Demonstration
 
ROKVISS - Robotics Component Verification on ISS
Germany’s recent space robot project ROKVISS was successfully launched on December 24th 2004 form Baikonur Cosmodrome. During a spacewalk on January 26th 2005, the ROKVISS experiment hardware was mounted to the outer wall of the Russian Svesda module.

ROKVISS aims at the qualification of the newest light weight robot joint technologies as developed in DLR’s lab. They are the basis for a new generation of ultra-light, impedance controllable and soft arms, which, combined with DLR’s newest articulated 4-fingered hands, are the essential components for future robonaut systems.

DLR’s focus on space robotics was driven by strong considerations, how to push robotic technologies for space applications. A new generation of light weight robots with an unbeatable weight to load ratio as well as impressive control features, which makes the system easy-to-use and safe for terrestrial servicing applications was developed. To test and verify all these new technologies in space, recently the ROKVISS (RObot Komponent Verification on ISS) Experiment was born. The main goals of the ROKVISS experiment are the demonstration and verification of light-weight robotics components, under realistic mission conditions in free space, as well as the verification of direct tele-manipulation to show the feasibility of applying tele-presence methods for further satellite servicing tasks.

One basic idea for the ROKVISS project was to get rid of bulky and expensive radhard components for a space born application in favor of highly integrated circuits used with terrestrial devices. To come to a first assessment of the applicability of the joint mechatronics for free space, we performed a radiation, an EMC and a thermal test with one of the existing joints. The results of all these tests were very convincingly, no problem in principle could be identified.
 
 
ROKVISS joint element
The two joint ROKVISS manipulator
Tests
 
SLES - Spacecraft Life Extension System
It seems that with our capture tool and docking technology as developed for ESS, we might create the first business case in on-orbit-servicing. Telecommunication satellites typically cost at least $250 million and are designed for an average on-orbit life-time of 10-15 years. Once their on-board propellant load is depleted, the satellites are boosted into a disposal orbit and decommissioned, even though their revenue-generating communications relay payloads continue to function.
Our industrial partner Orbital Recovery Corp. has initiated a so-called Spacecraft Life Extension System (SLES TM) which should significantly prolong the operating lifetimes of these valuable telecommunication satellites.

SLES will operate as an orbital tugboat, supplying the propulsion, navigation and guidance to keep a telecommunications satellite in its proper orbital slot for many additional years. Another application of the SLES could be the rescue of a spacecraft that has been placed in a wrong orbit by its launch vehicle, or which has stranded in an incorrect orbital location during positioning manoeuvres. The system is designed to easily mate with all current and future telecommunications satellites. It will link up using our proprietary docking device (the modified ESS capture tool, see Fig. below) that connects to the telecommunication satellite's apogee kick motor, as we have proposed within the ESS technology study. Meanwhile we have made a lot of effort to redesign the capture tool towards increasing its fail-safe behaviour, e.g., by using additional redundant magnetic sensors.
 
SLES
SLES approaching a telecommunication satellite
SLES
SLES docked with its parent telecommunication satellite  (pictures by courtesy of Orbital Recovery Corp.)
Capture tool
The modified capture tool with laser- and inductive sensor system.
 
Industrial Robot Control
The Institute of Robotics and Mechatronics of the DLR has a contracted cooperation with the robot manufacturer KUKA. The main issues are to improve the dynamic performance of industrial robots by optimizing feedforward and feedback control laws. Based on non-linear dynamic robot models, feedforward control is used to maximize robot speed of the reference trajectory, and feedback control is used to improve contour following by vibration attenuation.

During the last years, DLR successfully developed algorithms, optimization environments, and simulation tools which used to improve the robots performance. See the topics below for more information.
 
Rapid Control Prototyping in a HiL-Optimization Environment
As the main aim for control engineers in the field of industrial robotic is basically to enhance velocity and accuracy of the treated structure, more and more powerful systems for the design and optimization process are developed. In the case of our control department, rapid control prototyping is executed with simulation programs like MODELICA/DYMOLA on the one hand and optimization tools as MOPS (Multi-Objective Parameter Synthesis) embedded in the real time environment Matlab-xPC on the other. The term “rapid control prototyping” thereby means the fast and efficient development of control tasks, starting at the model building and ending at the hardware-in-the-loop (Hil) optimization of the designed controller structure.

Due to the fact that manual tuning of controller parameters for achieving high performance controllers is very time consuming this HiL (Hardware in the Loop)-setup has been built up. Using different criteria (for example overshoot, settling time, or position error) which can be calculated from the measured data many different, often conflicting requirements can be considered. The optimisation technology for this automatic process is the above mentioned, Matlab-based program MOPS which has originally been designed at the DLR for advanced robust flight control problems.

The experiment setup is shown schematically in the figure. Based on the above described compo-nents an optimization cycle proceeds as follows:

A SIMULINK model – SIMULINK is a graphical toolbox of the simulation package Matlab – of the controller in combination with the optimizer runs on the xPC-Host. Real time code of the controller which is generated automatically from Matlab is sent to the xPC-Target in the control unit of the robot. Parallel to the movement of the robot a 6-degrees-of-freedom camera measures the position and orientation e.g. of the robot flange. These data are read in by the xPC-Host and afterwards the optimizer calculates the above mentioned criteria as well as new controller parameters which are sent back to the xPC-Target in real time.

This ensures that control engineers can test their designed structures in a very efficient way.
Optimal Motion Planning
In many applications, especially for spot welding tasks, industrial robots should move as fast as possible in order to minimize cycle time and production cost. This problem can only be solved with efficient Optimal Motion Planning algorithms. Constraints, such as maximum motor and gear box torques or maximum motor speeds, should be automatically taken into account by means of suitable model based real-time algorithms.

We have developed algorithms which enable KUKA robots to move in point-to-point applications as fast as possible under all essential constraints. Furthermore, the vibrations of the robot are significantly reduced. With this change of the path planning software, KUKA robots move up to 30% faster, the amplitudes of the vibrations at the end effector are up to 5 times smaller, and the teaching time is reduced considerably.

The algorithms use ideas from many published articles in this area. The difficult part was to get the solution of a constrained trajectory optimization problem in a short time (= real-time algorithms) and in all situations (= very robust). These unpublished mathematical algorithms use very fast dynamic robot models, including a 6-degree of freedom mechanical model of the robot. Furthermore, the exact minimum time path is not suited for industrial robots because the non-differentiable points in the velocity profile induce vibrations into the robot movement. Algorithmic modifications reduce induced vibrations while deviating not too much from the optimal solution. Hence we also developed the proper measurement procedure, including the evaluation software, for the friction characteristic and for validation of the overall model.
Realtime Simulation - Robot design optimization
In the EU-project RealSim (Real-time Simulation for Design of Multi-physics Systems) DLR and KUKA worked together to develop methods and tools that ease the design of new robots or of variants of existing robots by taking into account the interaction of mechanics, electronics and software systems of a robot early in the design phase. The goal is to reduce development cost and time and improve robot performance. It is planned to include step after step the developed and demonstrated technology into the actual design process at KUKA. The figure sketches the design process. After the initial specification of the robot (desired payload, work space, etc.), a first model of the robot is created. In a robot component library, the data of older designs are available, that can be directly utilized or served as a reference. The initial design is carried out following heuristic rules, e.g., by “static” calculations to check the joint torques in different arm configurations and adjust the kinematic parameters. The initial design is followed by a MOPS design optimization phase in which a good compromise candidate is determined by minimizing the maximum of a set of (appropriately scaled) criteria for a set of typical industrial tasks. Finally, the design can be verified in a real-time simulation using the actual robot control hardware, replacing the not-yet-existing robot by a real-time simulation.

 
         

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