Daniel Hedman

Papers

Total Citations

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About

Daniel Hedman is a leading researcher in robotics, with a primary focus on real-time collision avoidance for robotic manipulators. His most influential work, published in 2009 and 2011, presents a groundbreaking algorithm that enables robotic arms to avoid collisions without any prior knowledge of the motion of surrounding objects. This innovation is particularly significant because it is computationally efficient enough to be implemented in real time, a critical requirement for safe and dynamic human-robot collaboration. With his top-cited papers accumulating over 65 citations, Hedman’s contributions have directly addressed one of the core challenges in industrial and service robotics: ensuring safe operation in unstructured environments. By eliminating the need for pre-programmed obstacle paths, his algorithm allows robots to react autonomously to unexpected changes, paving the way for more flexible and adaptive automation. Hedman’s work is essential reading for students and researchers interested in motion planning, sensor-based control, and the practical deployment of robots in shared workspaces.