Marimuthu Palaniswami
Papers
14
Total Citations
260
H-Index
7
About
Marimuthu Palaniswami is a distinguished researcher whose work spans robotics control systems, neural network-based adaptive control, and emerging applications in rehabilitation engineering and smart city technologies. His most influential contributions lie in the domain of robust control for robotic manipulators, where his 1994 paper on robust tracking control using variable structure compensators — garnering 88 citations — established foundational methods for managing large system uncertainties in rigid robotic systems. Building on this foundation, his 2002 work introduced an RBF neural network-driven adaptive sliding mode control scheme (56 citations), eliminating the need for prior knowledge of uncertainty bounds and marking a significant practical advance in intelligent robotic control. His earlier 1993 contributions to adaptive Cartesian-space control further demonstrated his commitment to globally stable, computationally tractable solutions. Palaniswami's research later expanded into cloud robotics for smart city crowd management and robot exoskeleton-assisted stroke rehabilitation, reflecting a visionary ability to apply control expertise to pressing societal challenges. Collectively, his body of work, spanning over three decades and drawing more than 250 citations, underscores a career dedicated to bridging theoretical rigor with real-world robotic application.
Research Focus
Key Achievements
Top Papers
- 1Robust tracking control for rigid robotic manipulators88 citations · 1994
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- 3Adaptive control of robot manipulators in task space31 citations · 1993
- 4Cloud-Enhanced Robotic System for Smart City Crowd Control23 citations · 2016
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- 9A robust tracking controller for robotic manipulators5 citations · 2003
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