Robert Wittmann

Technical University of Munich

Papers

20

Total Citations

300

H-Index

11

About

Robert Wittmann is a prominent robotics researcher whose work centers on humanoid and bipedal robot locomotion, autonomous navigation, and real-time motion planning. His research addresses some of the most demanding challenges in making humanoid robots practical in unstructured, real-world environments — from dynamic obstacle avoidance to disturbance rejection and robust walking stabilization. Among his most significant contributions is a suite of real-time planning frameworks that enable bipedal robots to navigate unknown environments autonomously. His 2017 paper on real-time path planning in unknown environments for bipedal robots has garnered 42 citations, while his work on autonomous robotic frameworks for logistics applications leads his portfolio with 47 citations, reflecting broad cross-disciplinary relevance. His foundational contributions to state estimation, footstep optimization using nonlinear model predictive control, and vision-based 3D environment modeling have collectively shaped modern humanoid locomotion research, accumulating over 230 citations across his top works. Wittmann's research uniquely bridges perception, control, and planning — integrating sensor fusion, Kalman filtering, and computer vision into cohesive systems deployable on physical robots. His body of work represents a comprehensive and technically rigorous roadmap toward truly autonomous humanoid navigation.

Research Focus

Key Achievements

11
H-Index
20
Papers
300
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
An Autonomous and Flexible Robotic Framework for Logistics Applications
47 citations · 2017
📈 Most Prolific Year: 2016 (5 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Technical University of Munich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago