Nicolas Kuhnen

Papers

Total Citations

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About

Nicolas Kuhnen is a roboticist whose research focuses on sensor-based motion generation for mobile manipulation in dynamic, unstructured environments. His most-cited work, "Sensor-based, task-constrained motion generation under uncertainty" (2014), addresses a critical challenge in robotics: enabling manipulators to operate reliably when the environment's exact state is unknown. Kuhnen's key contribution lies in developing motion generation methods that simultaneously account for end-effector task constraints and reason about environmental uncertainty—a dual requirement essential for real-world applications. By integrating sensor feedback into task-constrained planning, his approach allows robots to adapt to unpredictable changes, bridging the gap between theoretical control and practical deployment. Although his citation count (4) reflects a focused, early-career impact, his work is foundational for researchers tackling uncertainty in autonomous manipulation. Kuhnen's research is particularly relevant for advancing robotics in domains like service, industrial, and field robotics, where robustness to dynamic conditions is paramount. His emphasis on sensor-driven, constraint-aware motion generation continues to influence the development of more adaptive and reliable robotic systems.