Padmanabhan Panchu K.
Papers
4
Total Citations
53
H-Index
3
About
Dr. Padmanabhan Panchu K. is a leading researcher in multi-robot systems, specializing in the complex interplay of task allocation, path planning, and multi-objective optimization. His work directly addresses the critical challenge of coordinating robot teams to perform efficiently under real-world constraints, such as task precedence and limited computational resources. Dr. Panchu’s most impactful contribution is his 2018 paper on multi-objective optimisation of multi-robot task allocation with precedence constraints, which has garnered 32 citations and established a foundational framework for sequencing and allocating robots to tasks. He further advanced the field by developing a novel fuzzy and reverse auction-based algorithm (2021, 12 citations) that optimally distributes tasks while minimizing path costs and computing time. His research also extends to reconfigurable robot teams, where he integrates route planning with task allocation using genetic algorithms. Notably, Dr. Panchu introduced the innovative Quadrant Selection Method to improve multi-objective path planning for mobile robot navigation, reducing computational effort. Through these contributions, he has provided essential tools for automated industries, enabling more intelligent and efficient deployment of multi-robot systems.
Research Focus
Key Achievements
Top Papers
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