Philipp Seiwald
Papers
12
Total Citations
148
H-Index
8
About
Philipp Seiwald is a robotics researcher specializing in bipedal locomotion and autonomous navigation for humanoid robots. His work addresses the fundamental challenge of enabling bipedal robots to move robustly and autonomously in unknown, dynamic environments. Seiwald’s major contributions include developing real-time path planning strategies for bipedal robots, as demonstrated in his most-cited paper (42 citations), and creating vision-based 3D modeling techniques for unknown environments (21 citations) that allow humanoid robots to navigate without prior knowledge. He has also advanced human-robot cooperation through systems for collaborative object manipulation with contact changes (21 citations). Seiwald played a key role in the LOLA v1.1 project, upgrading hardware and software for dynamic multi-contact locomotion—fast walking with hand-environment support for enhanced stability. His research integrates kinematic optimization, spline-based walking pattern generation, and hybrid position/force control for stabilization, with notable work on time-variable, event-based walking control that improves terrain adaptability. With over 140 total citations across his publications, Seiwald’s innovations are pushing humanoid robotics toward greater autonomy and real-world applicability.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Path Planning in Unknown Environments for Bipedal Robots42 citations · 2017
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- 3Human-Robot Cooperative Object Manipulation with Contact Changes21 citations · 2018
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- 8Time-variable, event-based walking control for biped robots8 citations · 2018
- 9Torso height optimization for bipedal locomotion4 citations · 2018
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