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Dongxuan Li

3 accepted papers

2025

An Adversarial Learning Framework for Reliable Myoelectric Force Estimation Under Fatigue

ICRA 2025

Electromyography (EMG) signals are widely used as control inputs for myoelectric exoskeletons. However, muscle fatigue, which can result from prolonged use or heavy loads, significantly affects muscle activation patterns, leading to reduced estimation accuracy. To address this challenge, we propose

Cited by 0SourceScholar
2024

Advancing Virtual Reality Interaction: A Ring-Shaped Controller and Pose Tracking

ICRA 2024poster

Ensuring robust tracking of controllers’ movement is critical for human-robot interaction in virtual reality (VR) scenarios. This paper proposes a robust tracking algorithm based on a novel wearable ring-shaped controller equipped with an inertial measurement unit (IMU) and a light-emitting diode (L…

Cited by 0SourceScholar
2018

Laser Map Aided Visual Inertial Localization in Changing Environment

IROS 2018poster

Long-term visual localization in outdoor environment is a challenging problem, especially faced with the cross-seasonal, bi-directional tasks and changing environment. In this paper we propose a novel visual inertial localization framework that localizes against the LiDAR-built map. Based on the geo…

Cited by 37SourceScholar