MEAM Master’s Thesis Defense: “Learning a Vision-Based Footstep Planner for Hierarchical Walking Control on Unstructured Terrain”
/
David Rittenhouse Laboratory Building, Room 4C4
209 S. 33rd Street, Philadelphia, PA, United States
Bipedal robots demonstrate high potential in navigating challenging terrains through dynamic ground contact. However, current frameworks often depend solely on proprioception or use manually designed visual processing pipelines, which are fragile in real-world settings and complicate real-time footstep planning in unstructured environments. To overcome this problem, this work proposes a vision-based hierarchical control framework that […]

