Papers
13
Total Citations
204
H-Index
8
About
Robins Mathew is a leading researcher at the intersection of robotics, artificial intelligence, and smart manufacturing, whose work is shaping the future of Industry 4.0. His primary contributions lie in digital twin technology for human–robot collaboration, where his highly cited 2022 review (80 citations) provides a foundational roadmap for creating real-time virtual replicas to enable flexible, customized production. Mathew has also made significant advances in mobile robot navigation and control, developing novel trajectory tracking and obstacle avoidance strategies for differential drive and Hilare robots, including a multi-robot system inspired by the Bug-1 algorithm. His pioneering application of Edge AI to mobile collaborative robotic platforms (19 citations) demonstrates how real-time data processing can enhance process monitoring and control. Notably, Mathew has explored the transformative potential of mobile collaborative robots in bioprocessing environments, from personalized drug manufacturing to environmental monitoring. With over 200 total citations across his portfolio, his work on automatic simulation-based design of robotic gripper fingers and reinforcement learning for robot navigation further underscores his commitment to practical, intelligent automation solutions that bridge the virtual and physical worlds.
Research Focus
Key Achievements
Top Papers
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- 5Automatic simulation-based design and validation of robotic gripper fingers16 citations · 2022
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- 8Reinforcement Learning Based Approach For Mobile Robot Navigation8 citations · 2019
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