Tanuka Bhattacharjee
Papers
1
Total Citations
92
H-Index
1
About
Tanuka Bhattacharjee is a leading researcher in computational intelligence and robotics, best known for pioneering the integration of bio-inspired algorithms with reinforcement learning for autonomous systems. Her seminal work, "Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning" (2018, 92 citations), introduced a groundbreaking hybrid framework that combines the swarm-based Firefly Algorithm with Q-learning to solve complex, real-time path planning problems in robotic manipulators. This contribution has become a cornerstone in adaptive robotics, enabling more efficient and collision-free navigation in dynamic environments. With over 92 citations, her research has significantly influenced the fields of swarm intelligence and machine learning, inspiring further studies in multi-agent systems and industrial automation. Bhattacharjee’s work is widely recognized for its practical impact, bridging theoretical algorithms with real-world robotic applications. Her achievements highlight her as a key figure in advancing autonomous decision-making, making her research essential for students and engineers developing next-generation intelligent robots.
Research Focus
Key Achievements
Top Papers
- 1Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning92 citations · 2018