Balasubramaniam Perumal
Papers
1
Total Citations
3
H-Index
1
About
Balasubramaniam Perumal is a researcher specializing in robotics, autonomous navigation, and optimization algorithms, with a particular focus on path planning in constrained environments. His major contribution lies in developing adaptive and energy-efficient motion planning strategies for robotic systems, most notably through the introduction of the Adaptive Rapidly-exploring Random Tree (ARRT*) algorithm. This work, published in 2021, addresses the critical challenge of generating collision-free, shortest-distance paths while optimizing energy consumption—a key requirement for sustainable industrial automation. Although his most-cited paper currently holds 3 citations, his research is gaining traction as industries increasingly prioritize flexibility and sustainability in robotics. Perumal’s approach stands out for its practical applicability in complex, constrained settings, bridging the gap between theoretical path planning and real-world deployment. His work is particularly relevant for students and researchers exploring adaptive algorithms in robotics, offering a foundation for further innovation in autonomous systems. With a focus on efficiency and adaptability, Perumal is contributing to the next generation of intelligent robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1