Christian Scheurer
Karlsruhe Institute of Technology, Augsburg University, KUKA (Germany), Carnegie Mellon University
Papers
7
Total Citations
122
H-Index
6
About
Christian Scheurer is a leading researcher in robotics, specializing in motion planning, inverse kinematics, and redundancy resolution for complex robotic systems, including humanoid robots, mobile manipulators, and industrial arms. His major contributions lie in developing algorithms that enable robots with many degrees of freedom to operate efficiently and robustly in dynamic environments. Notably, he pioneered adaptive motion planning for humanoid robots, addressing the unsolved challenge of trajectory planning for highly articulated systems, and created a unified closed-form inverse kinematics solution for the KUKA youBot, a key contribution to mobile manipulation. His work on path planning for palletizing tasks using workspace cell decomposition has direct industrial applications, while his multi-task redundancy resolution methods allow mobile manipulators to seamlessly integrate mobility and manipulation. With over 120 citations across his top papers, Scheurer’s research has significantly advanced the practical deployment of redundant robots. His notable achievements include planning for robust execution by incorporating future perceptive capability, ensuring robots can perceive and adapt to their surroundings during operation. Scheurer’s work bridges theoretical robotics and real-world industrial implementation, making him a pivotal figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Adaptive motion planning for humanoid robots28 citations · 2008
- 2Unified Closed Form Inverse Kinematics for the KUKA youBot24 citations · 2012
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