About

R. Janarthanan is a pioneering researcher in the intersection of robotics, brain-computer interfaces, and swarm intelligence. His work centers on developing intelligent control systems for autonomous and multi-robot systems, with a particular emphasis on path-planning, cooperative manipulation, and EEG-based robotic control. Janarthanan’s most influential contribution is his extended Q-learning algorithm for mobile robot path-planning (29 citations), which introduced a conditional update mechanism that dramatically improves learning efficiency. He has also made significant strides in brain-computer interfacing, demonstrating how motor imagery decoded from EEG signals can reliably control remote robotic systems—work that has garnered over 16 citations and laid groundwork for secure, thought-driven robotic platforms. In multi-robot systems, Janarthanan pioneered the application of multi-objective Particle Swarm Optimization and bee colony algorithms to solve the classic box-pushing problem, enabling coordinated turning and translation of objects. His adaptive memetic algorithm for multi-robot path-planning further showcases his ability to blend evolutionary computation with real-world robotic challenges. With a portfolio spanning foundational reinforcement learning, neural decoding, and swarm optimization, Janarthanan’s research continues to shape how autonomous robots learn, cooperate, and respond to human intent.

Research Focus

Key Achievements

7
H-Index
17
Papers
146
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot
29 citations · 2010
📈 Most Prolific Year: 2012 (8 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Korea Institute of Science and Technology, Sri Jayadeva Institute of Cardiovascular Sciences and Research, Jadavpur University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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