Kapil Deshpande
Papers
3
Total Citations
15
H-Index
2
About
Kapil Deshpande is a rising researcher at the forefront of human-robot collaboration (HRC), with a focused expertise in industrial assembly and robotic task execution. His major contributions center on developing intelligent, adaptive frameworks that allow robots to work safely and efficiently alongside humans. Deshpande is a leading advocate for using **Behavior Trees (BTs)** to structure robotic skills, moving beyond rigid programming to enable dynamic, on-the-fly adaptability during complex assembly tasks. His foundational 2024 paper on a BT-based skill execution framework has already garnered 8 citations, establishing a new paradigm for flexible HRC. Complementing this, he introduced a novel **first-person view (FPV) system** using a single fisheye camera mounted directly on the robot. This innovation, cited 6 times, solves a critical challenge in close-proximity interaction by providing a robot-centric field-of-view for accurate 3D human pose estimation, a key enabler for safe, intuitive collaboration. Through his work on dynamic task execution and novel perception systems, Deshpande is shaping the next generation of intelligent, human-aware manufacturing systems.
Research Focus
Key Achievements
Top Papers
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