Benjamin Mottis
Papers
2
Total Citations
18
H-Index
2
About
Benjamin Mottis is a leading researcher in multi-modal robotics, specializing in the integration of legged and aerial locomotion systems. His work focuses on developing bio-inspired platforms that combine walking, hopping, and flying capabilities to achieve unprecedented mobility in complex environments. Mottis’s major contributions include pioneering control and path planning algorithms for these hybrid systems, notably through his work on the Husky Carbon platform—a legged-aerial robot that mimics avian locomotion. His most cited paper, "Efficient Path Planning and Tracking for Multi-Modal Legged-Aerial Locomotion Using Integrated Probabilistic Road Maps (PRM) and Reference Governors (RG)" (2022, 13 citations), introduces a novel framework that seamlessly merges probabilistic path planning with real-time control, enabling robust navigation across diverse terrains. This work, alongside his letter on Husky Carbon’s progress (2022, 5 citations), has laid critical groundwork for ultra-flexible robotic systems capable of dynamic transitions between ground and air. Mottis’s research has significant implications for search-and-rescue, exploration, and autonomous logistics, where adaptability is key. His achievements highlight a promising trajectory in advancing multi-modal locomotion, earning recognition for merging theoretical rigor with practical robotic design.
Research Focus
Key Achievements
Top Papers
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