Patrick Hegemann
Papers
2
Total Citations
10
H-Index
2
About
Patrick Hegemann is a roboticist advancing autonomous manipulation for hazardous environments, with a focus on humanoid robotics and task-level reasoning. His core research spans grasping, mobile manipulation, and symbolic failure detection—critical for deploying robots in unstructured settings like nuclear decontamination. In his 2022 work, Hegemann introduced a learning-based approach to detect and recover from task failures during grasping and mobile manipulation, enabling humanoid robots to adapt in real-time without human intervention. This contribution addresses a fundamental bottleneck in autonomous robotics: robust execution in unknown environments. His applied research on humanoid systems for decontamination tasks directly tackles the challenge of replacing human workers in radiation-exposed, heavy-lifting roles, improving both safety and efficiency. With over 10 citations across his most-cited papers, Hegemann’s work is gaining traction for its practical impact on nuclear waste management and industrial automation. By bridging symbolic reasoning with physical action, he is shaping the next generation of resilient, task-aware robots capable of operating where humans cannot.
Research Focus
Key Achievements
Top Papers
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