William R. Norris — accepted AI-conference papers

2025

An Interactive Hands-Free Controller for a Riding Ballbot to Enable Simple Shared Control Tasks

Chenzhang Xiao, Seung Yun Song, Yu Chen, Mahshid Mansouri, João Ramos, William R. Norris +1

ICRA 2025

Our team developed a riding ballbot (called PURE) that is dynamically stable, omnidirectional, and driven by lean-to-steer control. A hands-free admittance control scheme (HACS) was previously integrated to allow riders with different torso functions to control the robot's movements via torso leanin

Cited by 1 Source ↗Scholar ↗

2021

A CNN Based Vision-Proprioception Fusion Method for Robust UGV Terrain Classification

Yu Chen, Chirag Rastogi, William R. Norris

RA-L 2021

The ability for ground vehicles to identify terrain types and characteristics can help provide more accurate localization and information-rich mapping solutions. Previous studies have shown the possibility of classifying terrain types based on proprioceptive sensors that monitor wheel-terrain intera

Cited by 28 Source ↗Scholar ↗