A. Arumbakkam
Papers
4
Total Citations
125
H-Index
4
About
A. Arumbakkam is a robotics researcher whose work focuses on bridging the gap between human motion and robotic control, with key contributions in motion retargeting, human-robot interaction, and inverse kinematics. His most impactful research addresses the challenge of transferring human motion to humanoid robots in real-time, a critical step toward making robots easily programmable and capable of learning from observation. His 2009 paper, "ONLINE TRANSFER OF HUMAN MOTION TO HUMANOIDS," has garnered 58 citations, while his 2008 work on "Online and markerless motion retargeting with kinematic constraints" has 44 citations, collectively establishing a foundation for markerless, online motion transfer systems. Arumbakkam also developed a "Constrained closed loop inverse kinematics" algorithm (2010, 19 citations), which uses gradient-based potential functions to handle collision and joint limit constraints for articulated systems. Additionally, his work on a "Multi-modal architecture for human robot communication" (2010) presents a framework for compliant trajectory tracking using multimodal human gestures on position-controlled humanoids. These contributions advance the goal of creating intuitive, human-friendly robotic systems that can seamlessly replicate and learn from human motion.
Research Focus
Key Achievements
Top Papers
- 1ONLINE TRANSFER OF HUMAN MOTION TO HUMANOIDS58 citations · 2009
- 2Online and markerless motion retargeting with kinematic constraints44 citations · 2008
- 3Constrained closed loop inverse kinematics19 citations · 2010
- 4A multi-modal architecture for human robot communication4 citations · 2010