14 citations · 17 across the 8 of their papers we have counts for
4 papers · 1 filter
A terrain treadmill to study animal locomotion through large obstacles
Ratan Othayoth, Blake Strebel, Yuanfeng Han +2
A major challenge to understanding locomotion in complex 3-D terrain with large obstacles is to create tools for controlled, systematic lab experiments. Existing terrain arenas onl…
Look at my new blue force-sensing shoes!
Yuanfeng Han, Ruixin Li, Gregory S. Chirikjian
To function autonomously in the physical world, humanoid robots need high-fidelity sensing systems, especially for forces that cannot be easily modeled. Modeling forces in robot fe…
A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies
Zizhou Lao, Yuanfeng Han, Yunshan Ma +1
Many robots utilize commercial force/torque sensors to identify inertial properties of unknown objects. However, such sensors can be difficult to apply to small-sized robots due to…
Shape-induced obstacle attraction and repulsion during dynamic locomotion
Yuanfeng Han, Ratan Othayoth, Yulong Wang +4
Robots still struggle to dynamically traverse complex 3-D terrain with many large obstacles, an ability required for many critical applications. Body-obstacle interaction is often…