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About

Vidyasagar Rajendran is a leading researcher in human-robot interaction (HRI) and humanoid robotics, whose work focuses on making robots safe, intuitive, and capable of complex physical collaboration. His most cited paper, “A Framework for Human-Robot Interaction User Studies” (11 citations), addresses a critical gap in the field by proposing standardized experimental infrastructure, enabling more rigorous and comparable evaluations of HRI systems. In “Human-Aware RRT-Connect” (7 citations), Rajendran introduced a motion planner that explicitly accounts for human safety by optimizing separation distance, robot inertia, and visibility—a key contribution to safe human-robot collaboration. His innovative work extends to humanoid mobility and manipulation: “Towards Humanoids Using Personal Transporters” (5 citations) explores how robots can learn to ride a Segway from human demonstration, while “Bimanual Manipulation Workspace Analysis” (3 citations) provides a framework for analyzing whole-body stability under object-specific constraints. Rajendran also demonstrated high-precision control in “Optimization-Based Motion Generation for Buzzwire Tasks” (2 citations) using the REEM-C humanoid. With a cumulative impact of over 28 citations, his research is shaping the future of physically capable, human-aware robots.