ArticleSensors (Basel, Switzerland)2020
ALICE: Conceptual Development of a Lower Limb Exoskeleton Robot Driven by an On-Board Musculoskeletal Simulator.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Research on Control Strategy of Lower Limb Exoskeleton Robots: A Review.Sensors (Basel, Switzerland) · 2026Review
- Dual Quaternion-Based Forward and Inverse Kinematics for Two-Dimensional Gait Analysis.Journal of functional morphology and kinesiology · 2025Article
- Advancements in Sensor Technologies and Control Strategies for Lower-Limb Rehabilitation Exoskeletons: A Comprehensive Review.Micromachines · 2024Review
- Exoskeletal solutions to enable mobility with a lower leg fracture in austere environments.Wearable technologies · 2023Review
- Dual-Rate Extended Kalman Filter Based Path-Following Motion Control for an Unmanned Ground Vehicle: Realistic Simulation.Sensors (Basel, Switzerland) · 2021Article
- Review of control strategies for lower-limb exoskeletons to assist gait.Journal of neuroengineering and rehabilitation · 2021Review
- Evaluation of Optimal Control Approaches for Predicting Active Knee-Ankle-Foot-Orthosis Motion for Individuals With Spinal Cord Injury.Frontiers in neurorobotics · 2021Article
- An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
4 authors.
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Abstract
objectiveIn this article, we present the conceptual development of a robotics platform, called ALICE (Assistive Lower Limb Controlled Exoskeleton), for kinetic and kinematic gait characterization. The ALICE platform includes a robotics wearable exoskeleton and an on-board muscle driven simulator to estimate the user's kinetic parameters.
backgroundEven when the kinematics patterns of the human gait are well studied and reported in the literature, there exists a considerable intra-subject variability in the kinetics of the movements. ALICE aims to be an advanced mechanical sensor that allows us to compute real-time information of both kinetic and kinematic data, opening up a new personalized rehabilitation concept. METHODOLOGY: We developed a full muscle driven simulator in an open source environment and validated it with real gait data obtained from patients diagnosed with multiple sclerosis. After that, we designed, modeled, and controlled a 6 DoF lower limb exoskeleton with inertial measurement units and a position/velocity sensor in each actuator. SIGNIFICANCE: This novel concept aims to become a tool for improving the diagnosis of pathological gait and to design personalized robotics rehabilitation therapies.
conclusionALICE is the first robotics platform automatically adapted to the kinetic and kinematic gait parameters of each patient.
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Registered trials
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