Sebastian Stelter
Papers
1
Total Citations
6
H-Index
1
About
Sebastian Stelter is a robotics researcher whose work focuses on enabling humanoid robots to operate reliably in real-world environments. His primary research areas include motion planning, bipedal locomotion, and robot self-recovery, with a particular emphasis on developing robust stand-up strategies for humanoid platforms. Stelter’s major contribution lies in his 2021 paper, "Fast and Reliable Stand-Up Motions for Humanoid Robots Using Spline Interpolation and Parameter Optimization," which has garnered 6 citations. In this work, he proposed a closed-loop control system that allows humanoid robots to recover from falls by generating stand-up motion trajectories based on quintic spline interpolation. This approach significantly enhances the reliability and robustness of humanoid robots when subjected to external disturbances—a critical requirement for their deployment outside controlled laboratory settings. By optimizing motion parameters for speed and stability, Stelter’s research bridges the gap between theoretical motion planning and practical, real-world robot autonomy. His work is particularly notable for addressing a fundamental challenge in humanoid robotics: the ability to autonomously recover from failure, which is essential for long-term, unsupervised operation in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1