Papers
20
Total Citations
152
H-Index
9
About
Kaushik Das is a robotics and control systems researcher whose work spans multiagent systems, autonomous space robotics, and aerial-ground robotic platforms. His early contributions focused on distributed control theory, most notably his 2015 work on broadcast control mechanisms for positional consensus in multiagent systems, which demonstrated how uniform control inputs could effectively coordinate agent swarms and has since accumulated 29 citations. More recently, Das has emerged as a prominent voice in the rapidly growing field of active space debris removal, producing a cluster of highly cited studies examining space robot control architectures. His research compares free-floating and rotation-floating control paradigms, applies nonlinear model predictive control to debris-capturing manipulators, and explores deep reinforcement learning for proximity operations — work that collectively reflects both theoretical rigor and practical mission relevance. His 2022 debris chaser satellite design and subsequent post-mission disposal analyses further demonstrate a systems-level perspective on orbital sustainability. Beyond space robotics, Das has contributed to UAV-based survivor detection and novel UAV-miniUGV hybrid systems for exploration and manipulation. With over 120 cumulative citations across these interconnected domains, his research profile marks him as a versatile and increasingly influential contributor to autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Broadcast Control Mechanism for Positional Consensus in Multiagent Systems29 citations · 2015
- 2
- 3
- 4
- 5
- 6Implementation of survivor detection strategies using drones10 citations · 2021
- 7
- 8
- 9The Post Mission Disposal Analysis of PSLV Debris at De-Orbited Altitude9 citations · 2023
- 10UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation7 citations · 2022