R. Gilster

Papers

Total Citations

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About

R. Gilster is a robotics researcher whose work focuses on advancing autonomous manipulation for humanoid robots, particularly in the domain of grasp planning and execution. Their most-cited paper, "Human-inspired selection of grasp hypotheses for execution on a humanoid robot" (2011, 5 citations), introduces a novel approach that combines offline grasp planning with human-inspired selection strategies to enable robots to reliably grasp known objects. This work addresses a critical challenge in service robotics: the need for robots to interact with arbitrary objects in unstructured home environments. By mimicking human decision-making in grasp selection, Gilster's research bridges the gap between theoretical grasp planning and practical execution on physical humanoid platforms. While their citation count reflects the specialized nature of early humanoid manipulation research, the work has contributed foundational insights to the field of robotic grasping, particularly in how robots can efficiently transition from planned grasps to successful real-world interactions. This research remains relevant as humanoid robots move closer to widespread domestic and assistive applications.