About

Vasileios Vasilopoulos is a leading researcher in legged robotics, focusing on the intersection of locomotion, manipulation, and autonomous navigation in complex, unstructured environments. His work addresses fundamental challenges in foot-terrain interaction, particularly on deformable ground, where he introduced a viscoplastic approach to model compliant terrain—a contribution that underpins his most-cited paper (31 citations). Vasilopoulos has pioneered reactive, sensor-based planning frameworks that enable legged robots to operate in partially known, non-convex spaces without relying on GPS or pre-built maps. His hierarchical architecture for mobile manipulation, demonstrated by a quadruped robot rearranging furniture in cluttered indoor settings (17 citations), showcases his ability to bridge low-level control with high-level symbolic planning. More recently, he developed RAMP (Reactive Action and Motion Planner, 15 citations), which integrates sampling-based and reactive motion planning using implicit signed distance functions, and HIO-SDF (9 citations), a space-efficient method for incremental online mapping of large workspaces. With over 150 total citations across his portfolio, Vasilopoulos’s work is distinguished by its practical, sensor-driven approach to making legged robots truly autonomous in real-world environments.

Research Focus

Key Achievements

8
H-Index
15
Papers
166
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Compliant terrain legged locomotion using a viscoplastic approach
31 citations · 2014
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: National Technical University of Athens, University of Pennsylvania, Samsung (United States), Mechanics' Institute, California University of Pennsylvania, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago