Jan-Matthias Braun
Papers
3
Total Citations
17
H-Index
2
About
Jan-Matthias Braun is a robotics researcher whose work bridges the gap between human-like generalization and practical robot control. His key research areas include human-robot interaction, action generalization, and humanoid locomotion. Braun’s most notable contribution is his system for “Cut & Recombine,” which enables robots to reuse action components based on simple language instructions—a significant step toward flexible, transferable robotic skills. This work, with 9 citations, addresses a fundamental challenge in robotics: moving beyond task-specific programming to action-level generalization. In humanoid control, Braun has explored contrasting approaches to walking on the ARMAR-4 robot, comparing reflexive neuro-controllers with traditional LIP-based ZMP-controllers (6 citations). This work highlights his interest in both bio-inspired and model-based methods for stable locomotion. Additionally, his research on omnidirectional visual odometry for flying robots (2 citations) demonstrates versatility across platforms, focusing on low-power hardware solutions. Braun’s contributions are particularly relevant for students and researchers interested in making robots more adaptive, language-responsive, and capable of generalizing actions across diverse scenarios—pushing toward truly intelligent and autonomous systems.
Research Focus
Key Achievements
Top Papers
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