Cover Image

Exoskeleton Control through Learning to Reduce Biological Joint Moments in Simulations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	You, Zihang, Zhou, Xianlian
Format:	Preprint
Published:	2026
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SMAT: Staged Multi-Agent Training for Co-Adaptive Exoskeleton Control
by: Yuan, Yifei, et al.
Published: (2026)

Optimizing Locomotor Task Sets in Biological Joint Moment Estimation for Hip Exoskeleton Applications
by: An, Jimin, et al.
Published: (2024)

Reinforcement-Learning-Based Assistance Reduces Squat Effort with a Modular Hip--Knee Exoskeleton
by: Ratnakumar, Neethan, et al.
Published: (2026)

Learning Hip Exoskeleton Control Policy via Predictive Neuromusculoskeletal Simulation
by: Park, Ilseung, et al.
Published: (2026)

Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation
by: Leem, Geonho, et al.
Published: (2026)

Deep-Learning Control of Lower-Limb Exoskeletons via simplified Therapist Input
by: Vianello, Lorenzo, et al.
Published: (2024)

Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
by: You, Haoxiang, et al.
Published: (2025)

Gait Asymmetry from Unilateral Weakness and Improvement With Ankle Assistance: a Reinforcement Learning based Simulation Study
by: Yuan, Yifei, et al.
Published: (2026)

Joint Moment Estimation for Hip Exoskeleton Control: A Generalized Moment Feature Generation Method
by: Zhang, Yuanwen, et al.
Published: (2024)

Adaptive Torque Control of Exoskeletons under Spasticity Conditions via Reinforcement Learning
by: Chavarrías, Andrés, et al.
Published: (2025)

Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
by: You, Bang, et al.
Published: (2025)

Shared Control of Holonomic Wheelchairs through Reinforcement Learning
by: Bähler, Jannis, et al.
Published: (2025)

Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies
by: Christmann, Guilherme, et al.
Published: (2024)

SmartPNT-MSF: A Multi-Sensor Fusion Dataset for Positioning and Navigation Research
by: Zhu, Feng, et al.
Published: (2025)

Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors
by: You, Bang, et al.
Published: (2024)

An Efficient Detection and Control System for Underwater Docking using Machine Learning and Realistic Simulation: A Comprehensive Approach
by: Chavez-Galaviz, Jalil, et al.
Published: (2023)

Dexterous Manipulation through Imitation Learning: A Survey
by: An, Shan, et al.
Published: (2025)

RIFT: Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation
by: Chen, Keyu, et al.
Published: (2025)

An Empirical Study on the Computation Budget of Co-Optimization of Robot Design and Control in Simulation
by: Arza, Etor, et al.
Published: (2024)

SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics
by: Liu, Yifan, et al.
Published: (2024)

CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation
by: Chen, Sirui, et al.
Published: (2025)

Learning Realistic Joint Space Boundaries for Range of Motion Analysis of Healthy and Impaired Human Arms
by: Keyvanian, Shafagh, et al.
Published: (2023)

ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation
by: Yang, Shiqi, et al.
Published: (2024)

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation
by: Chiu, Yi-Hung, et al.
Published: (2024)

Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
by: Dahlinger, Philipp, et al.
Published: (2025)

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
by: Bozkurt, Alper Kamil, et al.
Published: (2025)

Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning
by: Hao, Chenjie, et al.
Published: (2025)

Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithms
by: Zhou, Zehao
Published: (2024)

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2023)

Learning Generalizable Visuomotor Policy through Dynamics-Alignment
by: Lee, Dohyeok, et al.
Published: (2025)

Learning Memory Mechanisms for Decision Making through Demonstrations
by: Yue, William, et al.
Published: (2024)

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures
by: Miller, AJ, et al.
Published: (2025)

Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2021)

Learning Aerodynamics for the Control of Flying Humanoid Robots
by: Paolino, Antonello, et al.
Published: (2025)

Robotic Paper Wrapping by Learning Force Control
by: Hanai, Hiroki, et al.
Published: (2025)

Structured Imitation Learning of Interactive Policies through Inverse Games
by: Sun, Max M., et al.
Published: (2025)

MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
by: Bergmann, Lara, et al.
Published: (2025)

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
by: Wagenmaker, Andrew, et al.
Published: (2024)

Enhancing Tactile-based Reinforcement Learning for Robotic Control
by: Miller, Elle, et al.
Published: (2025)

Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games
by: Roncero, Alejandro Sanchez, et al.
Published: (2025)