The Team

David Handelman, Ph.D. – President & Founder
Dave Handelman has extensive experience developing and commercializing robotics and artificial intelligence technology. His previous companies, which he co-founded, performed research for NSF, DARPA and the U.S. Army, collaborated with Princeton University and Sarnoff Corporation, licensed machine learning technology to Hasbro, licensed character animation technology to Microsoft, developed a virtual reality attraction for Disney, created new-processor software demos for Intel and developed a PC game for MetaCreations, now Viewpoint Corporation.
With American Android, Dave has served as Principal Investigator on numerous R&D projects including:
Human-Robot Interface Study, 711th Human Performance Wing, USAF (2009-present)
Agile and Dexterous Robot for Inspection and EOD Operations, U.S. Army (2008-present)
Dexterous All-Terrain Biped, U.S. Army (2007)
Tactical All-Terrain Biped, DARPA (2005-2006)
In Situ Training of Robonaut for In-Space Assembly, Maintenance & Servicing, NASA (2005)
In-Situ Training of Anthropomorphic Robots, NASA (2001-2004)
Dave received his B.S. in Aerospace Engineering from the University of Virginia and his M.A. and Ph.D. in Mechanical and Aerospace Engineering from Princeton University.
Haldun Komsuoglu, Ph.D. – Vice President of R&D
Hal Komsuoglu is a robotics researcher and entrepreneur with over 12 years of experience in biologically-inspired high-performance legged mobility systems and commercialization of robotics technologies. He has worked in various DARPA and NSF sponsored projects including DARPA-CBS, DARPA-RHex, DARPA-RiSE and NSF-FIBR.
Hal has extensive design and implementation know-how in embedded system, mixed signal electrical design, software engineering, system integration and non-linear control. He has conducted various numerical and analytical studies of dynamic mobility control tasks, with some of his work employing machine learning for behavioral optimization.
Hal received his B.S. in Electrical Engineering from Middle East Technical University and his M.S. and Ph.D. in Electrical Engineering from the University of Michigan.
Gordon Franken – Robotics Engineer
Gordon Franken is a developer with nearly a decade of experience in robotic prototype design and assembly. He got his start in robotics as a founding member of his high-school robotics team. As an undergraduate at Princeton University, he led his peers through numerous high-profile robotics competitions.
Gordon was the primary vehicle mechanics developer on the six-member, all-undergraduate team that entered the 2005 DARPA Grand Challenge. He supervised both hardware design and business development for the 2007 DARPA Urban Challenge team. In addition, he led Princeton University to numerous design and performance awards at the Intelligent Ground Vehicle Competition in 2008 and 2009. Through these projects he has developed expertise in mechanical design, fabrication methods, electrical design, control systems, marketing, and business development.
Gordon received his B.S. in Mechanical Engineering from Princeton University with a minor in Robotics and Intelligent Systems.
Selected Publications
[1] Handelman, D. A., Franken, G. H. and Komsuoglu, H., "Agile and Dexterous Robot for Inspection and EOD Operations," Proceedings of SPIE Vol. 7692, (2010) [pdf].
[2] Handelman, D. A., "Adaptive Collaborative Control of Highly Redundant Robots," Proceedings of SPIE Vol. 6962 (2008) [pdf].
[3] Handelman, D. A. and Lane, S. H., “Human-to-Machine Skill Transfer through Cooperative Learning,” Intelligent Control Systems - Theory and Applications, IEEE Press, 187-205 (1995).
[4] Handelman, D. A. and Lane, S. H., “Fast Sensorimotor Skill Acquisition based on Rule-Based Training of Neural Networks,” Neural Networks in Robotics, Kluwer Academic Pub., 255-270 (1993).
[5] Handelman, D. A., Lane, S. H. and Gelfand, J., “Robotic Skill Acquisition based on Biological Principles,” Hybrid Architectures for Intelligent Systems, CRC Press, 301-328 (1992).
[6] Handelman, D. A., Lane, S. H. and Gelfand, J., “Integrating Neural Networks and Knowledge-Based Systems for Intelligent Robotic Control,” IEEE Control Systems Magazine, 10 (3), 77-87 (1990).
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