Rajan Bhattacharyya
Papers
2
Total Citations
10
H-Index
2
About
Rajan Bhattacharyya’s research lies at the intersection of bio-inspired robotics, motor control, and autonomous learning. His work focuses on developing kinematic controllers that enable robotic arms to reach targets while avoiding obstacles, drawing inspiration from biological movement systems. His most cited paper (2012, 7 citations) presents a bio-inspired controller for real robots performing obstacle avoidance during reaching tasks. An earlier foundational paper (2008, 3 citations) introduces a redundant robot arm that learns to reach targets in space while avoiding obstacles in a self-organized manner. In this work, self-generated movement commands activate correlated visual, spatial, and motor information to learn both forward and inverse kinematic models. This approach mirrors how biological systems learn coordinated movement without explicit programming. Bhattacharyya’s contributions are significant for advancing autonomous robotics, particularly in developing adaptive, learning-based control systems that can operate in dynamic environments. His work has implications for prosthetics, human-robot interaction, and industrial automation. While his citation counts are modest, his research represents an important step toward more intelligent, biologically plausible robotic systems.
Research Focus
Key Achievements
Top Papers
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