Mandar Anil Payare

University at Buffalo, State University of New York

Papers

Total Citations

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About

Mandar Anil Payare is a rising researcher at the intersection of bionics, tactile sensing, and intelligent robotics. His work centers on developing advanced sensory systems that bridge the gap between artificial and human dexterity, with a particular focus on slip detection and dynamic feedback for robotic manipulation. His most cited paper, "Slip-actuated bionic tactile sensing system with dynamic DC generator integrated E-textile for dexterous robotic manipulation" (2025, 21 citations), introduces a novel approach that integrates energy harvesting with real-time force detection. This work addresses a critical limitation in robotics: the inability to sense multidirectional forces and multimodal stimuli with the precision of the human hand. By combining a dynamic DC generator with e-textile-based sensing, Payare’s system enables robots to detect slip and adjust grip in real time—a key step toward truly autonomous, human-like manipulation. Though early in his career, his contributions are already shaping the future of soft robotics and prosthetics, offering a pathway to safer, more adaptive human-robot interaction. His research promises to redefine how machines perceive and interact with their environment.