ArticleScience advances2024
AI-driven universal lower-limb exoskeleton system for community ambulation.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Embedded Adaptive Admittance Control for a Modular Hip Exoskeleton Using Deep Learning-Based Gait-Phase Estimation.Sensors (Basel, Switzerland) · 2026Article
- Synthetic Data-Driven Exoskeleton Control via Contralateral Gait Fusion for Variable-Speed Walking.Biomimetics (Basel, Switzerland) · 2026Article
- Optimization of Exoskeleton Assistance Function Based on Physics-Guided Dynamic Fusion Model.Bioengineering (Basel, Switzerland) · 2026Article
- Research on Control Strategy of Lower Limb Exoskeleton Robots: A Review.Sensors (Basel, Switzerland) · 2026Review
- Smart exoskeleton-assisted rehabilitation after fracture surgery: closed-loop control, personalized load management, and integrated telemonitoring.Frontiers in bioengineering and biotechnology · 2026Review
- Hip exoskeleton assistance with machine-learning-based state estimation improves gait kinematics of people with Parkinson's disease.Frontiers in robotics and AI · 2026Article
- Interpretable side-aware kinematic-sEMG gait-state representations relevant to adaptive neurorobotic assistance after stroke: a public-dataset study.Frontiers in neurorobotics · 2026Article
- Comparative Analysis of Robotic Assistive Devices on Paretic Knee Motion in Post-Stroke Patients: An IMU-Based Pilot Study.Journal of functional morphology and kinesiology · 2025Article
- Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.Journal of neuroengineering and rehabilitation · 2025Article
- Wearable Robots for Rehabilitation and Assistance of Gait: A Narrative Review.Annals of rehabilitation medicine · 2025Article
- Mode-Unified Intent Estimation of a Robotic Prosthesis using Deep-Learning.IEEE robotics and automation letters · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Exoskeletons offer promising solutions for improving human mobility, but a key challenge is ensuring the controller adapts to changing walking conditions. We present an artificial intelligence (AI)-driven universal exoskeleton system that dynamically switches assistance types between walking modes, modulates assistance levels corresponding to the ground slope, and delivers assistance timely based on the current gait phase in real-time. During treadmill validation, AI-based assistance reduced metabolic cost by 6.5% compared to 3.5% for conventional assistance. We expanded testing the controller in real-world walking, where AI-based assistance showed effective modulation and higher user preference compared to conventional assistance. Leveraging the AI-based approach and a comprehensive dataset, the controller achieved superior performance in environment- and user-state estimations. This approach does not require a separate mode classifier and operates on a user-independent basis, enabling immediate deployment across diverse conditions. This study highlights the potential of AI-driven exoskeletons in facilitating human locomotion in real-world ambulation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.