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Sisir  Karumanchi's Picture
Address:
Jet Propulsion Laboratory
M/S 82-105
4800 Oak Grove Dr.
Pasadena, CA 91109
Phone:
818.356.3867
Fax:
818.393.3254
Email:
Click here
Member of:
347G
Robotic Manipulation and Sampling Group

Sisir Karumanchi
(Full description>>)

Education (more>>)
Postdoc, Robotic Mobility Group, Massachusetts Institute of Technology, 2011-2014.
PhD, Field Robotics, The Australian Centre for Field Robotics, University of Sydney, Australia, 2010.
Bachelor of Engineering, Mechatronics, University of Sydney, Australia, 2005.

Professional Experience (more>>)
Collaborating Researcher, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, 2012-2014.
Postdoctoral Associate, Robotic Mobility Group, Massachusetts Institute of Technology, 2011-2014.

Research Interests (more>>)
- robust mobile manipulation in challenging environments.
- inverse and forward planning problems in dexterous robotic systems.
- robust constraint estimation and enforcement in single agent and multi-agent robotic systems.
- guaranteed motion safety for soft hazards (beyond obstacles, e.g. deformable soil, slopes).
- Bayesian inference.

Selected Publications (more>>)

S. Karumanchi, K. Edelberg, I. Baldwin, J. Nash, B. Satzinger, J. Reid, C. Lau, C. Bergh, J. Leichty, K. Carpenter, M. Shekels, M. Gildner, D. Newill-Smith, J. Carlton, J. Koehler, T. Dobreva, M. Frost, P. Hebert, J. Borders, J. Ma, B. Douillard, K. Shankar, K. Byl, J. Burdick, P. Backes and B. Kennedy, "Team RoboSimian: Semi-autonomous Mobile Manipulation at the 2015 DARPA Robotics Challenge Finals," Journal of Field Robotics: Special Issue on the 2015 DARPA Robotics Challenge Finals, 2016. (Link)

S. Karumanchi, T. Allen, T. Bailey, S. Scheding,"Non-parametric Learning to Aid Path Planning Over Slopes," The International Journal of Robotics Research (IJRR), Vol 29(8), 2010, 997-1018. (Link)

M. Fallon, S. Kuindersma, S. Karumanchi, M. Antone, T. Schneider, H. Dai, C. Perez-D’Arpino, R. Deits, M. DiCicco, D. Fourie, T. Koolen, P. Marion, M. Posa, A. Valenzuela, P. Kuan-Ting Yu, J. A. Shah, K. Iagnemma, R. Tedrake, S. Teller, "An Architecture for Online Affordance-based Perception and Whole-body Planning," Tech Report, MIT-CSAIL-TR-2014-003, MIT Computer Science and Artificial Intelligence Lab (CSAIL), 2014. (Link)

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