Janelle P. Clark — accepted AI-conference papers

2026

Model-Agnostic Meta-Learning for Adaptive Gait Phase and Terrain Geometry Estimation With Wearable Soft Sensors

Zenan Zhu, Wenxi Chen, Pei-Chun Kao, Janelle P. Clark, Lily Behnke, Rebecca Kramer-Bottiglio +2

RA-L 2026

This letter presents a model-agnostic meta-learning (MAML) based framework for simultaneous and accurate estimation of human gait phase and terrain geometry using a small set of fabric-based wearable soft sensors, with efficient adaptation to unseen subjects and strong generalization across differen

Cited by 0 Source ↗Scholar ↗

2019

On the role of wearable haptics for force feedback in teleimpedance control for dual-arm robotic teleoperation

Janelle P. Clark, Gianluca Lentini, Federica Barontini, Manuel G. Catalano, Matteo Bianchi, Marcia K. O’Malley

ICRA 2019poster

Robotic teleoperation enables humans to safely complete exploratory procedures in remote locations for applications such as deep sea exploration or building assessments following natural disasters. Successful task completion requires meaningful dual arm robotic coordination and proper understanding…

Cited by 44 Source ↗Scholar ↗