Prabahar Veerajagadeshwar
Papers
4
Total Citations
230
H-Index
4
About
Prabahar Veerajagadeshwar is a leading researcher in autonomous robotics, specializing in complete coverage path planning and reconfigurable robotic systems. His work focuses on developing intelligent, energy-efficient robots for tasks such as floor cleaning, surface painting, and agricultural harvesting, with minimal human intervention. Veerajagadeshwar’s most impactful contribution is his 2020 paper on using reinforcement learning for Tetromino-based cleaning and maintenance robots, which has garnered 185 citations. This work introduced novel algorithms for Tetris-inspired tiling robots to achieve full area coverage while optimizing energy consumption. His 2019 study on energy consumption estimation models for these reconfigurable surface tiling robots (27 citations) further advanced the field by addressing the critical challenge of energy awareness during autonomous deployments. Veerajagadeshwar has also explored long-term trials for improving autonomous area coverage (12 citations) and combined grid and heat conduction optimization for staircase cleaning robot path planning (6 citations). His research bridges reinforcement learning, reconfigurable robotics, and energy optimization, making significant strides toward practical, self-sustaining autonomous systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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