Papers
48
Total Citations
852
H-Index
13
About
Ravi Balasubramanian is a leading robotics researcher whose work sits at the intersection of human biomechanics, robotic manipulation, and human-robot teaming. Best known for his influential 2014 survey "The Human Hand as an Inspiration for Robot Hand Development" (143 citations), Balasubramanian has built a research program centered on a compelling question: how can robots learn to grasp as skillfully and robustly as humans? His pioneering physical human interactive guidance methodology, introduced in a 2012 paper (114 citations), offered a novel way to study human grasping strategies by having humans physically guide robotic hands — yielding insights that measurably improved robotic grasp robustness on real hardware. His Anatomically Correct Testbed (ACT) hand serves as a recurring platform for investigating how biological stiffness control and variable moment arms contribute to dexterous manipulation. Beyond the lab, Balasubramanian contributed to high-stakes human-robot collaboration as part of Team ViGIR in the 2013 DARPA Robotics Challenge (81 citations), emphasizing operators as true teammates in disaster-response scenarios. His 2019 benchmarking protocol for grasp planning reflects a broader commitment to rigorous, reproducible science across the field.
Research Focus
Key Achievements
Top Papers
- 1The Human Hand as an Inspiration for Robot Hand Development143 citations · 2014
- 2
- 3
- 4Human-guided grasp measures improve grasp robustness on physical robot71 citations · 2010
- 5Benchmarking Protocol for Grasp Planning Algorithms41 citations · 2019
- 6
- 7
- 8Acquiring Variable Moment Arms for Index Finger Using a Robotic Testbed33 citations · 2010
- 9Disturbance Response of Two-Link Underactuated Serial-Link Chains26 citations · 2012
- 10