Arup Kumar Sadhu
Papers
13
Total Citations
242
H-Index
7
About
Arup Kumar Sadhu is a leading researcher in multi-robot systems and artificial intelligence, with a particular focus on cooperative task planning and swarm intelligence. His most significant contribution is the development of a novel approach to correlated equilibrium in multi-agent Q-learning, which dramatically reduces computational complexity by adapting composite rewards into a single Q-table, a breakthrough that has garnered 19 citations. His highly cited work on synergizing the Firefly Algorithm with Q-learning for robot arm path planning (92 citations) demonstrates his ability to merge bio-inspired optimization with reinforcement learning. Sadhu has also pioneered practical implementations of multi-robot cooperation, including Arduino-based stick-carrying using Artificial Bee Colony optimization (14 citations) and box-pushing with non-dominated sorting algorithms (12 citations). Beyond robotics, his research extends to real-time surface material identification for autonomous vehicles (12 citations) and EEG-based gesture control for prosthetic limbs (7 citations), showcasing a commitment to real-world applications. With over 235 total citations, Sadhu’s work continues to influence both theoretical advances in multi-agent learning and tangible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning92 citations · 2018
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