Daniel Wahrmann
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
Top Papers
- 1
- 2An Autonomous and Flexible Robotic Framework for Logistics Applications47 citations · 2017
- 3Real-Time Path Planning in Unknown Environments for Bipedal Robots42 citations · 2017
- 4State estimation for biped robots using multibody dynamics23 citations · 2015
- 5
- 6Real-time pattern generation among obstacles for biped robots20 citations · 2015
- 7
- 8
- 9A flexible and low-cost tactile sensor for robotic applications17 citations · 2017
- 10Real-time nonlinear model predictive footstep optimization for biped robots16 citations · 2015