Subhashis Banerjee

Indian Institute of Technology Indore, Indian Institute of Technology Delhi

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About

Subhashis Banerjee is a leading researcher in computer vision and robotics, with a career spanning foundational work in autonomous navigation to cutting-edge applications in surgical skill assessment. His early research established critical methods for robot localization using uncalibrated camera invariants (2003, 14 citations), demonstrating how image measurements invariant to camera internals could enable precise self-localization from known landmarks—a key contribution to field robotics. He also pioneered gesture-based interfaces for remote robot control (2002, 7 citations), developing dynamic hand gesture recognition systems using appearance-based features and Hidden Markov Models. More recently, Banerjee has advanced representation learning for neurosurgical skills evaluation (2022, 3 citations), employing rank loss techniques to automatically assess trainee performance from video data. This work addresses the critical need for objective, automated evaluation in surgical simulators, enabling more effective training of psychomotor skills. His research trajectory—from uncalibrated vision systems to human-robot interaction and medical AI—reflects a consistent focus on making machines perceive and interact intelligently with their environment, with lasting impact on both robotics and healthcare training.