Bernd Waltersberger
Papers
2
Total Citations
12
H-Index
2
About
Bernd Waltersberger is a robotics researcher whose work centers on humanoid locomotion, sensor calibration, and robust control under uncertainty. His primary contributions lie in developing inverse dynamics frameworks that enable bipedal robots to maintain stability on arbitrary surfaces and withstand external perturbations—a fundamental challenge in humanoid robotics. His most-cited paper (2023, 10 citations) introduces a method for robust inverse dynamics by evaluating Newton–Euler equations relative to a moving reference while measuring angular acceleration, directly addressing the noise and instability that plague real-time feedback systems. Building on this, his 2025 work (2 citations) proposes a multi-method framework for establishing an angular acceleration reference, advancing sensor calibration and uncertainty quantification for robots operating in unpredictable environments. Though early in his citation trajectory, Waltersberger’s research is strategically positioned at the intersection of dynamics, sensor fusion, and control theory, offering practical pathways for making humanoid robots more resilient in real-world settings—from industry to healthcare. His focus on reducing reliance on noisy measurements while maintaining real-time responsiveness marks a notable achievement in the pursuit of truly autonomous, perturbation-tolerant locomotion.
Research Focus
Key Achievements
Top Papers
- 1
- 2