Vincent J. P. van den Goor
Papers
1
Total Citations
2
H-Index
1
About
Vincent J. P. van den Goor is a researcher whose work sits at the intersection of human-robot interaction and motion planning, with a particular focus on how robots can communicate intent through movement. His most cited paper, "Legibility of Robot Approach Trajectories with Minimum Jerk Path Planning" (2020), explores how the smoothness and predictability of a robot’s motion—specifically using minimum jerk trajectories—affects a human observer’s ability to understand where the robot is going. This contribution is significant because it addresses a core challenge in collaborative robotics: making autonomous systems not just safe, but socially intuitive. By quantifying legibility in approach trajectories, van den Goor’s work helps bridge the gap between robotic efficiency and human comfort, a critical step for real-world deployment in shared spaces. Though his citation count is still growing, his research has been recognized for its practical implications in human-aware navigation and has informed subsequent studies on motion transparency. For students and researchers entering the field of human-robot interaction, van den Goor’s work offers a clear, foundational example of how subtle design choices in path planning can profoundly shape user trust and collaboration.
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Top Papers
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