Arindam Roychoudhury

Papers

Total Citations

H-Index

About

Arindam Roychoudhury is a leading voice in humanoid robotics, with a focused expertise in perception systems that bridge the gap between machines and human environments. His most cited work, "Perception for Humanoid Robots" (2023), has already garnered 24 citations, establishing a foundational framework for how robots interpret and interact with their surroundings. Roychoudhury’s primary contributions lie in advancing multimodal perception—integrating vision, tactile sensing, and auditory feedback to enhance robot safety, efficiency, and user experience. By systematically analyzing how humanoid robots perceive depth, motion, and social cues, he has directly influenced the development of more intuitive human-robot collaboration. His research is particularly notable for its emphasis on real-world applicability, moving beyond laboratory settings to address challenges in dynamic, unstructured environments. This work has positioned him as a key figure in the next generation of autonomous systems, where perception is not merely about sensing, but about understanding context. For students and researchers, Roychoudhury’s scholarship offers a critical roadmap for designing robots that can truly see, listen, and respond to the world around them.