Aswin K Ramasubramanian
University College Dublin, I-Form Advanced Manufacturing Research Centre
Papers
10
Total Citations
184
H-Index
7
About
Aswin K Ramasubramanian is a leading researcher at the forefront of Industry 4.0, specializing in human-robot collaboration (HRC) and digital manufacturing. His work focuses on creating smarter, safer, and more efficient factories by integrating cutting-edge technologies like Digital Twins, Edge AI, and deep reinforcement learning. Ramasubramanian’s major contributions include developing a Digital Twin framework for HRC (80 citations), which provides a foundational review and outlook for smart manufacturing, and pioneering operator-mobile robot collaboration for synchronized part movement. He has also advanced the field by applying Edge AI solutions to mobile collaborative platforms and creating automatic simulation-based methods for designing robotic gripper fingers. His research on human activity recognition sensors to enhance collaborative mobile manipulators and the evaluation of vision systems for human pose detection in cobot applications are critical for improving safety and ergonomics. With a total of over 180 citations, his notable work includes a safety-driven deep reinforcement learning framework for cobots, bridging the simulation-to-reality gap, and a roadmap for improving data quality through standards for collaborative intelligence. Ramasubramanian’s research is pivotal in shaping the future of flexible, human-centric automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Operator - mobile robot collaboration for synchronized part movement19 citations · 2021
- 3
- 4Automatic simulation-based design and validation of robotic gripper fingers16 citations · 2022
- 5
- 6
- 7Realistic simulation of robotic grasping tasks: review and application8 citations · 2021
- 8
- 9
- 10