3 papers
cs.RO2025
How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
Kensuke Nakamura, Arun L. Bishop, Steven Man +3
Latent safety filters extend Hamilton-Jacobi (HJ) reachability to operate on latent state representations and dynamics learned directly from high-dimensional observations, enabling…
cs.RO2025
The Surprising Effectiveness of Linear Models for Whole-Body Model-Predictive Control
Arun L. Bishop, Juan Alvarez-Padilla, Sam Schoedel +8
When do locomotion controllers require reasoning about nonlinearities? In this work, we show that a whole-body model-predictive controller using a simple linear time-invariant appr…
cs.RO2025
Multi-IMU Sensor Fusion for Legged Robots
Shuo Yang, Zixin Zhang, John Z. Zhang +2
This paper presents a state-estimation solution for legged robots that uses a set of low-cost, compact, and lightweight sensors to achieve low-drift pose and velocity estimation un…