LLMT: A Transformer-Based Multi-Modal Lower Limb Human Motion Prediction Model for Assistive Robotics Applications
Author:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, Canada
2. Department of Information Technology, Carleton University, Ottawa, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
CREATE READi Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10555267.pdf?arnumber=10555267
Reference43 articles.
1. Review of assistive strategies in powered lower-limb orthoses and exoskeletons
2. A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics
3. Physiological and kinematic effects of a soft exosuit on arm movements
4. Optimal variable impedance control for a robot and its application to lifting an object with a human
5. Stable and Compliant Motion of Physical Human–Robot Interaction Coupled With a Moving Environment Using Variable Admittance and Adaptive Control
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