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About

Balamuralidhar Purushothaman is a robotics researcher whose work spans telepresence, wearable robotics, surgical systems, and autonomous control. His key research areas include telerobotic communication architectures, passive exoskeleton design, surgical vision enhancement, and whole-body mobile manipulation. In his 2022 paper on "Teledrive," he introduced an Edge-centric architecture for collaborative multi-presence teleoperation, demonstrating practical real-world deployment with quantified user experience metrics. His work on passive exoskeletons leverages surrogate modeling from industrial activity data to optimize biomechanical design, addressing repetitive stress injuries in manufacturing and logistics—a contribution with direct societal impact. Purushothaman also tackles the critical challenge of surgical smoke dehazing during minimally invasive robotic surgeries, developing algorithms to restore clear vision for surgeons. His reinforcement learning approach to whole-body control enables dynamically stable mobile manipulators to balance effectively, pushing beyond traditional three- or four-wheeled designs. With papers accumulating citations across robotics and biomedical engineering, his research is recognized for bridging theoretical control methods with practical deployment challenges. His most recent work on anomalous activity detection from surveillance robot ego-view cameras further demonstrates his commitment to autonomous systems that perceive and respond to complex real-world environments.