Max Robotics — Global Service Robot Directory + US Certification

About

Saurabh Gupta is a robotics and computer vision researcher whose work sits at the intersection of 3D perception, robot manipulation, and embodied AI. His research focuses on enabling machines to understand and interact with the physical world — from segmenting unknown objects in cluttered environments to estimating hand-object poses from egocentric perspectives. Gupta's most influential contribution, "Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data" (189 citations), demonstrated a powerful approach to bridging the sim-to-real gap: training deep learning models on synthetic depth data to recognize and segment previously unseen objects — a capability with direct implications for robotic grasping and tracking. His work on PyRobot (51 citations) further cemented his impact on the robotics community by providing an accessible, hardware-agnostic open-source framework that has lowered the barrier to entry for robotics research and benchmarking worldwide. More recently, Gupta has turned his attention to egocentric hand-object interaction and 3D pose estimation, addressing challenges critical to AR/VR, action recognition, and next-generation robotics. Across his career, his contributions reflect a consistent drive to make robotic perception more practical, generalizable, and accessible to the broader research community.