Monimoy Bujarbaruah
Papers
3
Total Citations
10
H-Index
3
About
Monimoy Bujarbaruah is a robotics researcher whose work lies at the critical intersection of human-robot collaboration, safe autonomy, and learning-based control. His research focuses on enabling robots to operate safely and effectively alongside humans in shared, dynamic environments. Bujarbaruah’s major contributions include developing a decentralized leader-follower framework for collaborative robotics, where robots can sense and react to obstacles without explicit communication, and a trust-driven role adaptation strategy for human-robot teams that ensures safe transportation of objects while respecting each agent’s constraints. He has also tackled complex manipulation tasks, such as learning to play the cup-and-ball game from noisy camera observations, demonstrating how learning-based control can handle nonlinear dynamics and precise positioning. With over 10 citations across his most-cited works, Bujarbaruah’s research is gaining traction for its practical approach to real-world robotics challenges. His work on trust-driven adaptation is particularly notable for its potential to make human-robot collaboration more intuitive and reliable, paving the way for safer industrial and service robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Learning to Play Cup-and-Ball with Noisy Camera Observations3 citations · 2020