About

Johannes Englsberger is a prominent robotics researcher whose work has fundamentally shaped the field of humanoid robot locomotion and whole-body control. Best known for developing and extending the **Divergent Component of Motion (DCM)** framework — also known as the Capture Point concept — his research provides mathematically elegant solutions for stable bipedal walking. His landmark 2015 paper extending DCM to three dimensions, introducing the Enhanced Centroidal Moment Pivot point (eCMP) and Virtual Repellent Point (VRP), has accumulated over 364 citations and remains a cornerstone reference in legged robotics. Englsberger has contributed significantly to both theoretical foundations and real-world robot platforms. His work on the torque-controlled humanoid TORO (279 citations) and the momentum-based control framework applied to Boston Dynamics' Atlas robot (255 citations) demonstrate his ability to bridge elegant theory with practical implementation. His involvement in winning the DARPA Virtual Robotics Challenge with Team IHMC further highlights his competitive excellence. More recently, his contributions to deploying humanoid robots in Airbus aircraft manufacturing underscore the real-world industrial relevance of his research. With over 1,700 cumulative citations, Englsberger's body of work continues to influence a generation of roboticists tackling the formidable challenge of dynamic, stable humanoid locomotion.

Research Focus

Key Achievements

20
H-Index
43
Papers
2,242
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Three-Dimensional Bipedal Walking Control Based on Divergent Component of Motion
364 citations · 2015
📈 Most Prolific Year: 2015 (5 Papers)
🤝 Key Collaborators: 84
🏛 Institutions: Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), University of Ottawa, Institut national de recherche en sciences et technologies du numérique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago