Neel Jawale
Papers
3
Total Citations
15
H-Index
2
About
Neel Jawale is an emerging robotics researcher specializing in tactile sensing, slip detection, and robotic manipulation. His work addresses one of the fundamental challenges in robotics: enabling machines to handle objects with the dexterity and sensitivity of human hands. Rather than relying solely on visual feedback, Jawale's research pioneers the integration of artificial tactile sensing to give robotic systems a more nuanced understanding of physical contact. His most notable contribution is a novel framework that moves beyond treating slip as a simple binary event. By leveraging tactile deformation field feedback and analyzing contact force field entropy properties, Jawale developed a system capable of both detecting slip incidents and quantifying their severity — a significant conceptual and practical advancement in the field. This graduated approach to slip detection opens new possibilities for safer, more adaptive robotic grasping in real-world environments. Published in 2024, his papers have already accumulated over 15 citations combined, reflecting strong early interest from the robotics community. Jawale's interdisciplinary approach, bridging machine learning, tactile sensing, and manipulation theory, positions him as a promising voice in next-generation robotic dexterity research.
Research Focus
Key Achievements
Top Papers
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