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About

Remco C. Veltkamp is a leading researcher at the intersection of computer vision, robotics, and human-computer interaction, with a particular focus on egocentric perception and embodied cognition. His work spans 6D object pose estimation for robotic manipulation, point cloud analysis for city-scale change detection, and the psychology of virtual embodiment through augmented reality. In the latter area, he has made notable contributions to understanding the supernumerary hand illusion—distinguishing the subcomponents of ownership, agency, and self-location—work that has direct implications for teleoperation and prosthetic control. His most cited paper, with 76 citations, stems from the International Conference on Control, Automation, Robotics and Vision, while his 2019 study on the supernumerary hand illusion in augmented reality has garnered 24 citations. Veltkamp has also been instrumental in organizing benchmark challenges such as SHREC 2020 and 2023, advancing standardized evaluation for 6D pose estimation and 3D change detection. His research is distinguished by its integration of deep learning architectures—comparing CNNs and LSTMs for location classification from egocentric video—with rigorous experimental design in augmented reality, making his work equally relevant to engineers building autonomous systems and cognitive scientists studying body representation.