Papers
19
Total Citations
623
H-Index
11
About
Rajkumar Muthusamy is a robotics and control systems researcher whose work spans intelligent control theory, neuromorphic vision, and soft robotics. His early contributions focused on advanced control strategies for robot manipulators, most notably his highly cited 2012 paper on Fuzzy-Neural-Network Inherited Sliding-Mode Control (190 citations), which demonstrated robust, high-precision position tracking for multi-link robotic systems including actuator dynamics. A follow-up backstepping control framework (85 citations) further cemented his reputation in intelligent, adaptive control design. Muthusamy's research has since evolved toward neuromorphic and event-based vision systems, an emerging field where he has made particularly impactful contributions. His 2022 work on neuromorphic vision for robotic drilling (81 citations) and event-camera-based grasping strategies reflect his drive to solve real-world industrial automation challenges using biologically inspired sensing. His exploration of soft robotic finger proprioception and tactile classification using neuromorphic sensors demonstrates a sophisticated integration of perception and manipulation. Beyond these areas, Muthusamy has contributed to assistive robotics through his design of a supernumerary robotic finger for patients with sensorimotor impairments, showcasing the breadth of his humanitarian applications. With over 550 cumulative citations, his body of work bridges classical control theory with cutting-edge neuromorphic technologies, making him a distinctive and versatile voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 4Dual-arm cooperative manipulation under joint limit constraints47 citations · 2017
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- 6Real-time grasping strategies using event camera37 citations · 2022
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- 9Event Augmentation for Contact Force Measurements13 citations · 2022
- 10Bimodal SegNet: Fused instance segmentation using events and RGB frames12 citations · 2023