Papers

37

Total Citations

1,073

H-Index

19

About

Prabakaran Veerajagadheswar is a pioneering robotics researcher whose work sits at the intersection of autonomous systems, reconfigurable robotics, and intelligent path planning. Best known for developing the hTetro — a Tetris-inspired shape-shifting floor cleaning robot — he has fundamentally advanced how robots perceive, adapt to, and navigate complex environments. His most celebrated contribution, a Modified A-Star Algorithm for coverage path planning in self-reconfigurable robots, has garnered over 163 citations, reflecting its broad influence across cleaning, painting, and mining applications. Veerajagadheswar has been instrumental in applying deep reinforcement learning and travelling salesman problem formulations to coverage path planning challenges, with multiple papers in this domain exceeding 50–89 citations. His research extends beyond floor robotics into maritime technology, including the development of SPARROW, a magnetic climbing robot for autonomous ship hull inspection, and reinforcement learning-driven hull corrosion cleaning systems. With a cumulative citation count exceeding 700 across his top works, his contributions represent a sustained effort to make autonomous robots smarter, more energy-efficient, and genuinely adaptable — pushing the boundaries of what reconfigurable machines can achieve in real-world, unstructured environments.

Research Focus

Key Achievements

19
H-Index
37
Papers
1,073
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Modified A-Star Algorithm for Efficient Coverage Path Planning in Tetris Inspired Self-Reconfigurable Robot with Integrated Laser Sensor
163 citations · 2018
📈 Most Prolific Year: 2018 (10 Papers)
🤝 Key Collaborators: 60
🏛 Institutions: Singapore University of Technology and Design, Singapore University of Social Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago