Papers
29
Total Citations
511
H-Index
10
About
Dr. Sumit Kumar Das is a leading researcher at the intersection of robotics, artificial intelligence, and healthcare, whose work is shaping the future of physical human-robot interaction (pHRI) and digital twin technology. His most impactful contribution, the highly cited 2023 paper "Towards next generation digital twin in robotics," has garnered 123 citations and lays the groundwork for integrating cyber-physical systems, IoT, and robotics within Industry 4.0. Dr. Das is perhaps best known for developing model-free neuroadaptive controllers that enable safe, intuitive collaboration between humans and robots, as demonstrated in his 2019 work on intent estimation for pHRI. He has also pioneered the use of social robotics in clinical settings, notably through the ARNA service robot for nursing assistance and facially expressive robots for calibrating pain perception—studies that have earned over 50 and 36 citations, respectively. His research extends to explainable machine learning for robot failure prediction and advanced tactile sensing for precision grasp control. With a portfolio exceeding 400 total citations, Dr. Das’s work is not only advancing fundamental robotics but also directly addressing critical challenges in healthcare automation and safety-critical systems.
Research Focus
Key Achievements
Top Papers
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- 4Using Facially Expressive Robots to Calibrate Clinical Pain Perception36 citations · 2017
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- 6Robot Failure Mode Prediction with Explainable Machine Learning26 citations · 2020
- 7Learning human-like facial expressions for Android Phillip K. Dick25 citations · 2014
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