Krishna Krishnan
Papers
7
Total Citations
82
H-Index
5
About
Krishna Krishnan is a leading researcher at the intersection of soft robotics, intelligent manufacturing, and cyber-physical systems. His work addresses critical challenges in automating complex industrial tasks, with a particular focus on making robots safer and more adaptable. A major contribution is his comprehensive review of soft robot design, manufacturing, and operational challenges, which has garnered 28 citations and serves as a key resource for the field. Krishnan has pioneered the use of natural-language processing to guide robotic grasping, enabling anthropomorphic hands to determine proper strategies from simple object descriptions—a learning-based approach cited 27 times. He has also advanced real-time industrial operations by developing deep-learning-driven cyber-physical system frameworks that integrate IoT and object detection for enhanced automation and human safety. His recent work explores damage detection in robot arms using vibration data and machine learning, as well as estimating soft robot workspaces through finite element analysis. With over 80 total citations across his most influential papers, Krishnan is recognized for bridging theoretical modeling with practical, safe automation solutions.
Research Focus
Key Achievements
Top Papers
- 1Soft Robot Design, Manufacturing, and Operation Challenges: A Review28 citations · 2024
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- 3Robot arm damage detection using vibration data and deep learning9 citations · 2023
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- 7Knowledge-Augmented Dexterous Grasping with Incomplete Sensing2 citations · 2020