Papers
20
Total Citations
245
H-Index
8
About
Ragesh K. Ramachandran is a robotics and autonomous systems researcher whose work spans multi-robot coordination, resilient networked systems, and human-robot interaction. His early research explored biomechanics-inspired control, notably demonstrating how phase oscillator-based limit cycles can reduce metabolic costs in wearable exoskeletons and powered prosthetics—a contribution that has garnered over 60 citations and influenced assistive robotics design. He has since established himself as a leading voice in heterogeneous multi-robot systems, developing frameworks for resilient monitoring and adaptive target tracking that allow robot teams to maintain functionality despite sensor failures and resource constraints—work collectively cited over 75 times. His contributions extend to stochastic robotic swarms, where he pioneered probabilistic and optimal control approaches to autonomous mapping in GPS-denied environments without inter-robot communication. Additional notable work includes sampling-based motion planning on sequenced manifolds and pursuit-evasion game algorithms with practical surveillance and search-and-rescue applications. Ramachandran's research consistently bridges theoretical rigor with real-world relevance, making his publications valuable reading for students interested in fault-tolerant autonomy, distributed robotics, and intelligent system design.
Research Focus
Key Achievements
Top Papers
- 1Limit Cycles to Enhance Human Performance Based on Phase Oscillators61 citations · 2014
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- 6Resilient Multi-Robot Multi-Target Tracking14 citations · 2023
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- 8Sampling-Based Motion Planning on Sequenced Manifolds14 citations · 2021
- 9The Role of Heterogeneity in Autonomous Perimeter Defense Problems7 citations · 2022
- 10Parallel multi-speed Pursuit-Evasion Game algorithms7 citations · 2023