Papers

17

Total Citations

371

H-Index

8

About

Sisir Karumanchi is a robotics researcher whose work spans mobile manipulation, autonomous systems, and space robotics — fields where his contributions have shaped both competitive robotics and real-world deployment. He is perhaps best known for his pivotal role in the DARPA Robotics Challenge, where his foundational work on affordance-based perception and whole-body planning (140 citations) helped define how dexterous robots execute complex tasks under constrained communications. His continued contributions to Team RoboSimian's 5th-place finish at the 2015 DRC Finals (86 citations) demonstrated his ability to translate algorithmic advances into competitive, hardware-integrated systems. Beyond terrestrial robotics, Karumanchi has extended his expertise to space exploration, developing payload-centric autonomy frameworks for in-space robotic assembly of large modular structures and pioneering wheel-on-limb rover designs for traversing Europa-analogue terrain — work with direct implications for future ocean world missions. His supervised autonomy framework, SURROGATE, and the Intelligent Robotics System Architecture further illustrate his commitment to human-robot teaming in unstructured environments. Across more than a decade of research, Karumanchi has consistently bridged theoretical robotics with operational systems that perform under real-world constraints.

Research Focus

Key Achievements

8
H-Index
17
Papers
371
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
An Architecture for Online Affordance‐based Perception and Whole‐body Planning
140 citations · 2014
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 149
🏛 Institutions: Vassar College, Jet Propulsion Laboratory, Massachusetts Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago