Kok-Meng Lee — accepted AI-conference papers

2025

Development of a Wireless Embedded Sensing System With Physics-Based Neural Networks for Simultaneous Displacement and Force Measurements of a Magnetic Leadscrew

Wenjing Li, Kok-Meng Lee, Min-Geun Park, Zixin Que

RA-L 2025

Lightweight impedance-controllable end-effectors are increasingly important in emerging applications involving physical human-robot interaction. Motivated by this need, this paper presents a method to design a magnetic lead screw (Mag-LS) with a built-in wireless sensing system that utilizes its inh

Cited by 0 Source ↗Scholar ↗

2022

Wearable Magnetic Flexonic Sensor Nodes for Simultaneous Normal Force and Displacement Measurements

Jingjing Ji, Chengwei Qiu, Kok-Meng Lee

RA-L 2022

Illustrated in the context of home-based stroke rehabilitation, this paper presents the design and development of magnetic flexonic sensor nodes (FSNs) with configurable parameters for simultaneous sensing of normal forces and displacement. The FSN is composed of a magnetic sensor in flexible elemen

Cited by 1 Source ↗Scholar ↗

2015

Design analysis of a passive weight-support lower-extremity-exoskeleton with compliant knee-joint

Kok-Meng Lee, Donghai Wang

ICRA 2015poster

This paper presents the design concept of a weight-support lower-extremity-exoskeleton (LEE) with a compliant joint to relieve compressive load in the knee. Along with a leg dynamic model and a knee bio-joint model, a compliant exoskeleton knee-joint has been designed using topology optimization and…

Cited by 59 Source ↗Scholar ↗