Repetitive tasks in industrial works may contribute to health problems among operators, such as musculo-skeletal disorders, in part due to insufficient control of muscle fatigue. In this paper, a predictive model of fatigue is proposed for repetitive push/pull operations. Assumptions generally accepted in the literature are first explicitly set in this framework. Then, an earlier static fatigue model is recalled and extended to quasi-static situations. Specifically, the maximal torque that can be generated at a joint is not considered as constant, but instead varies over time accordingly to the operator's changing posture. The fatigue model is implemented with this new consideration and evaluated in a simulation of push/pull operation. Reference to this paper should be made as follows: Sakka, S., Chablat, D., Ma, R. and Bennis, F. (2015) 'Predictive model of the human muscle fatigue: application to repetitive push-pull tasks with light external load', Int.
Determination of subject-specific muscle fatigue rates under static fatiguing operations
Tsinghua University（清华大学）；Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制论研究所）；École Centrale de Nantes（南特中央理工学院）；EADS Innovation Works（EADS创新工厂）
A new simple dynamic muscle fatigue model and its validation
Institut de Recherche en Communications et en Cybernetique de Nantes, UMR CNRS 6597, Ecole Centrale de Nantes（南特通信与网络研究所，法国国家科学研究中心联合研究单位6597，南特中央理工大学）；Department of Industrial Engineering, Tsinghua University（清华大学工业工程系）
A novel approach for determining fatigue resistances of different muscle groups in static cases
Tsinghua University（清华大学）；École Centrale de Nantes（南特中央理工学院）；Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制研究所）；EADS Innovation Works（欧洲宇航防务集团创新中心）
Adaptive Control for Triadic Human-Robot-FES Collaboration in Gait Rehabilitation: A Pilot Study
School of Informatics, University of Edinburgh（爱丁堡大学信息学院）；Rey Juan Carlos University（雷伊胡安卡洛斯大学）；Cajal Institute（卡哈尔研究所）；The Alan Turing Institute（艾伦·图灵研究所）
Multi-Objective Optimisation Method for Posture Prediction and Analysis with Consideration of Fatigue Effect and its Application Case
Institut de Recherche en Communications et en Cybernétique de Nantes（南特通信与控制研究所）；Ecole Centrale de Nantes（南特中央理工学院）；Tsinghua University（清华大学）；EADS Innovation Works（EADS创新工作室）
Fatigue evaluation in maintenance and assembly operations by digital human simulation
Institut de Recherche en Communications et Cybernétique de Nantes（南特通信与控制研究所）；École Centrale de Nantes（南特中央理工学院）；Tsinghua University（清华大学）；EADS Innovation Works（欧洲宇航防务集团创新工厂）
The interplay of fatigue dynamics and task achievement using optimal control predictive simulation
Laboratoire de Simulation et Modélisation du Mouvement（运动仿真与建模实验室）；École de kinésiologie et des Sciences de l’Activité Physique（运动机能学与体育活动科学学院）；Université de Montréal（蒙特利尔大学）；Centre de réadaptation Marie-Enfant（玛丽-昂方康复中心）；CHU Sainte-Justine（圣贾斯汀大学医疗中心）
Muscle-inspired magnetic actuators that push, pull, crawl, and grasp
Functional Materials, Institute of Materials Science, Technical University of Darmstadt（功能材料，材料科学研究所，达姆施塔特技术大学）；Additive Manufacturing Center, Technical University of Darmstadt（增材制造中心，达姆施塔特技术大学）
