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Humanoid robots are increasingly demanded to operate in interactive and human-surrounded environments while achieving sophisticated locomotion and manipulation tasks. To accomplish these tasks, roboticists unremittingly seek for advanced…

Robotics · Computer Science 2018-11-28 Ye Zhao

Modeling and control of the human musculoskeletal system is important for understanding human motor functions, developing embodied intelligence, and optimizing human-robot interaction systems. However, current human musculoskeletal models…

Artificial Intelligence · Computer Science 2024-12-30 Chenhui Zuo , Kaibo He , Jing Shao , Yanan Sui

Locomotion has seen dramatic progress for walking or running across challenging terrains. However, robotic quadrupeds are still far behind their biological counterparts, such as dogs, which display a variety of agile skills and can use the…

Robotics · Computer Science 2023-03-23 Xuxin Cheng , Ashish Kumar , Deepak Pathak

Robotic systems are increasingly used in rehabilitation to provide high intensity training for patients with motor impairment. The results of controlled trials involving human subjects confirm the effectiveness of robot-enhanced methods and…

Robotics · Computer Science 2017-12-20 Rana Soltani-Zarrin , Amin Zeiaee , Reza Langari , Reza Tafreshi

Legged robot research is presently focused on bipedal or quadrupedal robots, despite capabilities to build robots with many more legs to potentially improve locomotion performance. This imbalance is not necessarily due to hardware…

Over the past half-century, musculoskeletal simulations have deepened our knowledge of human and animal movement. This article outlines ten steps to becoming a musculoskeletal simulation expert so you can contribute to the next half-century…

Human-Computer Interaction · Computer Science 2023-06-07 Scott D. Uhlrich , Thomas K. Uchida , Marissa R. Lee , Scott L. Delp

Legged locomotion holds the premise of universal mobility, a critical capability for many real-world robotic applications. Both model-based and learning-based approaches have advanced the field of legged locomotion in the past three…

Robotics · Computer Science 2024-11-26 Sehoon Ha , Joonho Lee , Michiel van de Panne , Zhaoming Xie , Wenhao Yu , Majid Khadiv

Imitation learning is one of the methods for reproducing human demonstration adaptively in robots. So far, it has been found that generalization ability of the imitation learning enables the robots to perform tasks adaptably in untrained…

Robotics · Computer Science 2024-07-12 Kento Kawaharazuka , Yoichiro Kawamura , Kei Okada , Masayuki Inaba

The upper limb robotic exoskeleton is an electromechanical device which use to recover a patients motor dysfunction in the rehabilitation field. It can provide repetitive, comprehensive, focused, positive, and precise training to regain the…

Robotics · Computer Science 2024-09-01 Sanjukta Halder , Amit Kumar

The human body demonstrates exceptional motor capabilities-such as standing steadily on one foot or performing a high kick with the leg raised over 1.5 meters-both requiring precise balance control. While recent research on humanoid control…

Imitation learning has been actively studied in recent years. In particular, skill acquisition by a robot with a fixed body, whose root link position and posture and camera angle of view do not change, has been realized in many cases. On…

Robotics · Computer Science 2023-12-19 Yutaro Matsuura , Kento Kawaharazuka , Naoki Hiraoka , Kunio Kojima , Kei Okada , Masayuki Inaba

Exoskeletons and orthoses are wearable mobile systems providing mechanical benefits to the users. Despite significant improvements in the last decades, the technology is not fully mature to be adopted for strenuous and non-programmed tasks.…

Robotics · Computer Science 2023-03-23 Farhad Nazari , Navid Mohajer , Darius Nahavandi , Abbas Khosravi , Saeid Nahavandi

The body structures of tendon-driven musculoskeletal humanoids are complex, and accurate modeling is difficult, because they are made by imitating the body structures of human beings. For this reason, we have not been able to move them…

Robotics · Computer Science 2024-04-09 Kento Kawaharazuka , Shogo Makino , Masaya Kawamura , Yuki Asano , Kei Okada , Masayuki Inaba

Humans are able to outperform robots in terms of robustness, versatility, and learning of new tasks in a wide variety of movements. We hypothesize that highly nonlinear muscle dynamics play a large role in providing inherent stability,…

Supernumerary robotic limbs (SLs) have the potential to transform a wide range of human activities, yet their usability remains limited by key technical challenges, particularly in ensuring safety and achieving versatile control. Here, we…

Robotics · Computer Science 2026-02-18 Xuanyun Qiu , Dorian Verdel , Hector Cervantes-Culebro , Alexis Devillard , Etienne Burdet

Natural organisms utilize distributed actuation through their musculoskeletal systems to adapt their gait for traversing diverse terrains or to morph their bodies for varied tasks. A longstanding challenge in robotics is to emulate this…

For successful goal-directed human-robot interaction, the robot should adapt to the intentions and actions of the collaborating human. This can be supported by musculoskeletal or data-driven human models, where the former are limited to…

Robotics · Computer Science 2026-02-17 Kevin Haninger , Luka Peternel

Tendon-driven musculoskeletal humanoids have many benefits in terms of the flexible spine, multiple degrees of freedom, and variable stiffness. At the same time, because of its body complexity, there are problems in controllability. First,…

Robotics · Computer Science 2024-04-09 Kento Kawaharazuka , Shogo Makino , Masaya Kawamura , Ayaka Fujii , Yuki Asano , Kei Okada , Masayuki Inaba

One of the typical purposes of using lower-limb exoskeleton robots is to provide assistance to the wearer by supporting their weight and augmenting their physical capabilities according to a given task and human motion intentions. The…

Robotics · Computer Science 2023-09-27 Yu Chen , Gong Chen , Jing Ye , Chenglong Fu , Bin Liang , Xiang Li

Computational models are critical to advance our understanding of how neural, biomechanical, and physical systems interact to orchestrate animal behaviors. Despite the availability of near-complete reconstructions of the Drosophila…

Neurons and Cognition · Quantitative Biology 2025-09-15 Pembe Gizem Özdil , Chuanfang Ning , Jasper S. Phelps , Sibo Wang-Chen , Guy Elisha , Alexander Blanke , Auke Ijspeert , Pavan Ramdya