Daniel Wahrmann

Technical University of Munich

Papers

21

Total Citations

391

H-Index

11

About

Daniel Wahrmann is a robotics researcher whose work spans humanoid locomotion, autonomous navigation, and human-centered service robotics. His most recognized contribution is the development of GARMI, a service robotics platform designed to support elderly individuals at home through household assistance, telepresence, and telemedicine interfaces — a paper that has garnered 83 citations since its 2021 publication and reflects a compelling pivot toward socially impactful robotics. Earlier in his career, Wahrmann made substantial contributions to bipedal robot autonomy, tackling some of the field's most demanding challenges: real-time path planning in unknown environments (42 citations), nonlinear model predictive footstep optimization, and state estimation for biped robots using multibody dynamics. His 2017 work on autonomous logistics robotics (47 citations) further demonstrated his ability to bridge theoretical control frameworks with practical deployment. Wahrmann also advanced robot perception, developing vision-based 3D modeling systems for humanoid navigation and efficient obstacle avoidance architectures. His flexible tactile sensor work highlights an additional thread of hardware innovation in human-robot interaction. Collectively, his research portfolio reflects a researcher who has consistently pushed the boundaries of what autonomous, physically capable, and socially aware robots can achieve in real-world environments.

Research Focus

Key Achievements

11
H-Index
21
Papers
391
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Introducing GARMI - A Service Robotics Platform to Support the Elderly at Home: Design Philosophy, System Overview and First Results
83 citations · 2021
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago