Marimuthu Palaniswami

University of Melbourne

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

7
H-Index
14
Papers
260
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Robust tracking control for rigid robotic manipulators
88 citations · 1994
📈 Most Prolific Year: 1993 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Melbourne

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago