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Projects of Victor Zykov Postdoctoral Associate at
Computational Synthesis Laboratory
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Open Source Modular Robots
The appeal of modular robotics is in their potential versatility,
robustness, and low cost of manufacture, however, these advantages have yet
to be realized. Due to demanding level of expertise and a prohibitively high
cost of fabrication and operation, majority of research in modular robotics
is limited to few specialized labs at select universities.
We suggest that by making modular robots available to greater numbers of
researchers, enthusiasts, and hobbyists we remove barriers to entry and
accelerate progress of the field. We created a wiki-based web portal to
offer all interested researchers and enthusiasts an open source, expandable
modular robotic system.
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Robot Self-Modeling for Functional Damage Compensation
Animals sustain the ability to operate after injury by creating
qualitatively different compensatory behaviors. Although such robustness
would be desirable in engineered systems, most machines fail in the face of
unexpected damage. We describe a robot that can recover from such change
autonomously, through continuous self-modeling. A four-legged machine uses
actuation-sensation relationships to indirectly infer its own structure, and
it then uses this self-model to generate forward locomotion. When a leg part
is removed, it adapts the self-models, leading to the generation of
alternative gaits. This concept may help develop more robust machines and
shed light on self-modeling in animals.
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Machine Self-Reproduction: Complete Robot Reconstruction
Afraid of machines taking over? Sorry.
Here we show several machines built from our MolecubesTM that can build
their copies that can build their copies etc. Robots here are only
programmed to reproduce. Sure, they can be coded to do other things.
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Stochastic Reconfiguration in 3D: Solid Part Repair
This project was started by Paul White in 2002. I joined
the project in 2004 and helped Paul to redesign re-design the second system
prototype (shown) and carry out final experimentation.
The project goal is to build 0.2 .. 0.5 mm zero degree of freedom robots
that, while moving stochastically, will be able to adhere to one another in
a programmable, reconfigurable way. We plan to use this process for
reconfigurable high resolution arbitrary 3D shape formation.
My part of the project consists in building and experimenting with a
large-scale prototype. Mike Tolley is currently working on microscale system
implementation.
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Autonomous Controller Design through Physical Experience
In this project, together with Hod Lipson and Josh Bongard, we evolve
locomotion controllers on a real physical robot - the Nonaped. It is a
pneumatic parallel actuated robot with 12 internal non-articulated degrees
of freedom.
Our initial goal was to evolve a dynamic gait on a physical robot, as of now
accomplished: two hardware evolutionary runs were conducted; as a result,
several dynamic locomotion patterns evolved. All these gaits use open-loop
controllers.
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PhoneBot: Damage Resilient Modular System
This project will combine the achievements of the four above projects in a
single system. Here we propose to join cell phones with our MolecubesTM
-based robotic lego set to build versatile damage resilient robots.
In 20 years from now, cell phones will be ubiquitous and virtually free.
They will comprise voice communication and messaging capabilities with
office applications, scheduling, photography, personal media entertainment,
wireless Internet access, etc. On the other hand, such combination of low
cost and high computational capabilities will make cell phones the only
affordable computing device for many people in underdeveloped economies.
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| Offer Profile |
At the Cornell Computational Synthesis Lab we
explore biologically-inspired computational and physical processes that allow
complex high-level systems to arise from low-level building blocks -
automatically. We seek new biological concepts for engineering and new
engineering insights into biology.
The Computational Synthesis Lab comprises researchers from various disciplines
of engineering, computer science, physics, math and biology. We are looking at
self-organization and evolutionary phenomena, and their application both to
engineering design automation and understanding of the emergence of complexity
in natural systems. We are developing both abstract models and applications in
various domains, and build working systems to test new ideas. There are still
many open questions, but if these processes can be understood and harnessed,
this will be the future of engineering. |
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