Karthikeyan Yuvraj

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About

Karthikeyan Yuvraj is a robotics researcher whose work focuses on the intersection of perception, motion planning, and humanoid autonomy, particularly in the context of vehicle operation. His key research areas include 3-D point cloud analysis, functional labeling, and humanoid robot ingress—the complex task of entering a vehicle. Yuvraj’s major contributions lie in developing perception-driven frameworks that enable humanoid robots to interpret and interact with unstructured environments, such as the interior of a utility vehicle. His most-cited work, "Towards functional labeling of utility vehicle point clouds for humanoid driving" (2014, 15 citations), introduces a method for semantically labeling 3-D point clouds to identify key functional regions like the steering wheel and seat, directly supporting ingress tasks like stepping up and grasping. This foundational research, alongside related studies (11 citations, 2013), was instrumental in advancing the Hubo 2+ platform for the DARPA Robotics Challenge (DRC), where Yuvraj integrated RGB-D cameras with motion planning to achieve early-phase vehicle entry. With a total of 29 citations across his top papers, Yuvraj’s work has laid critical groundwork for autonomous humanoid operation in real-world scenarios, bridging perception and action in high-stakes robotics competitions.