Satyajit Upasani

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About

Satyajit Upasani’s research lies at the exciting intersection of human-robot interaction, cognitive ergonomics, and wearable robotics. His work focuses on understanding how humans synchronize with intelligent machines—both physically and cognitively—to improve performance, safety, and user experience. In his highly cited 2023 study on eye-tracking in physical human-robot interaction (pHRI), Upasani demonstrated how gaze metrics can predict mental workload and performance as users learn to control a robot, offering a non-invasive window into cognitive load dynamics. This work has already garnered 22 citations for its practical implications in adaptive robot training. His equally innovative research on human-exoskeleton synchrony explores how users make sense of and adapt to wearable robots, emphasizing the role of agency and shared control in achieving seamless collaboration. By bridging cognitive science and robotics, Upasani’s contributions are shaping the design of more intuitive, responsive assistive technologies. His findings are particularly relevant for applications in rehabilitation, industrial ergonomics, and human augmentation, marking him as a rising voice in the future of human-centered robotics.