Development of a Deep Learning-Driven Control Framework for Exoskeleton ...
Sep 25, 2022 · The purpose of this study is to develop a computationally efficient deep learning based control framework for high degree of freedom exoskeleton robots to address the real time …
Comprehensive Comparative Analysis of Lower Limb Exoskeleton
Jul 9, 2025 · This review provides a comprehensive analysis of recent advancements in lower limb exoskeleton systems, focusing on applications, control strategies, hardware architecture, sensing …
An adaptive control scheme can handle modeling errors very efficiently. In this paper, a 7 degrees of freedom (DOF) human lower extremity dynamic model was developed using the Newton Euler’s...
SK Hasan - Google Scholar
Assistant Professor, Department of Mechanical and Manufacturing Engineering - Cited by 448 - Mechatronics - Wearable Robotics - Intelligent Control - Adaptive Control - Embedded...
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VLV - preprints.org
805 Abstract: This review provides a comprehensive analysis of recent advancements in lower limb exoskeleton systems, focusing on applications, control strategies, hardware architecture, sensing …
Publication – Biomechatronics System Design Laboratory
Hasan SK, Dhingra AK: 8 Degrees of freedom human lower extremity kinematic and dynamic model development and control for exoskeleton robot based physical therapy.
Deep Reinforcement Learning Based Control of Lower Limb Exoskeleton
Jun 30, 2024 · The goal of lower limb rehabilitation exoskeletons is gait rehabilitation for patients with neurological disorders such as stroke and spinal cord injury (SCI).
A Lower Limb Exoskeleton Adaptive Control Method Based on
Feb 11, 2025 · In this paper, we propose a Hierarchical Interactive Learning (HIL) control method based on gait phase and locomotion pattern recognition. The method comprises two layers: high-level …
AI-powered adaptive exoskeletons for long-term musculoskeletal …
Jan 1, 2026 · This study aims to critically synthesise the AI techniques to formalise and operationalise engineering knowledge, such as task variability, biomechanical demands, and environmental …
Neuromusculoskeletal model-informed machine learning-based control …
Aug 30, 2023 · In this study, we proposed an NMS-BNN-based adaptive control framework for a knee exoskeleton that uses muscle EMG signals and joint kinematics. The NMS-BNN model combines a …