Rahul Subramonian Bama
Papers
2
Total Citations
12
H-Index
2
About
Rahul Subramonian Bama is a robotics researcher whose work bridges soft robotics, rehabilitation engineering, and intelligent control systems. His primary research areas include adaptive control of soft robots, integrated sensing for proprioception, and robot-assisted rehabilitation for stroke survivors. In his most cited work (2021, 7 citations), Bama developed a novel framework for adaptive tracking control of soft robots using integrated sensing skins and recurrent neural networks. This work addresses a critical bottleneck in soft robotics—the lack of reliable proprioception for closed-loop control—by combining embedded sensors with learning-based estimation and control. His second major contribution (2018, 5 citations) focuses on stroke rehabilitation, where he designed an interactive visual task integrated with the impedance-controlled modular ankle exoskeleton (“Anklebot”). This game-based system provides “assist-as-needed” support to enhance ankle neuro-motor control during gait training. Bama’s work is notable for its interdisciplinary approach, merging hardware design, machine learning, and human-robot interaction. His research has direct implications for advancing autonomous soft robots and improving motor recovery outcomes in clinical rehabilitation settings.
Research Focus
Key Achievements
Top Papers
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