58 citations · 88 across the 6 of their papers we have counts for
4 papers · 1 filter
Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz, Tianyu Li, Nikolai Matni +1
We propose a Dynamical System (DS) approach to learn complex, possibly periodic motion plans from kinesthetic demonstrations using Neural Ordinary Differential Equations (NODE). To…
Ultra-fast, programmable, and electronics-free soft robots enabled by snapping metacaps
Lishuai Jin, Yueying Yang, Bryan O. Torres Maldonado +4
Soft robots have a myriad of potentials because of their intrinsically compliant bodies, enabling safe interactions with humans and adaptability to unpredictable environments. Howe…
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
Yanwei Wang, Nadia Figueroa, Shen Li +2
Learning from demonstration (LfD) has succeeded in tasks featuring a long time horizon. However, when the problem complexity also includes human-in-the-loop perturbations, state-of…
RoCUS: Robot Controller Understanding via Sampling
Yilun Zhou, Serena Booth, Nadia Figueroa +1
As robots are deployed in complex situations, engineers and end users must develop a holistic understanding of their behaviors, capabilities, and limitations. Some behaviors are di…