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Mathematical models, usually implemented in computer programs known as computer models, are widely used in all areas of science and technology to represent complex systems in the real world. However, computer models are ...

BackgroundUpper limb motor dysfunction is common after stroke and substantially restricts independence. Robot-assisted training (RAT) and blood flow restriction training (BFRT) have individually demonstrated potential be...

Abstract Background Impaired upper extremity (UE) function is a major contributor to disability after stroke. Combining robotic devices with functional electrical stimulation (FES) has emerged as a promising hybrid appro...

Abstract To improve locomotion and operation integration, this paper presents an integrated leg-arm quadruped robot (ILQR) that has a reconfigurable joint. First, the reconfigurable joint is designed and assembled at the...

Abstract In order to improve the operation efficiency and impact resistance of the robotic arm in unstructured environments such as orchards, this paper proposes an online trajectory planning method for multi-index compr...

Abstract Learning from demonstration is widely regarded as a promising paradigm for robots to acquire diverse skills. Other than the artificial learning from observation-action pairs for machines, humans can learn to imi...

Drug discovery research faces significant challenges, with around 90 % of candidate drugs failing in clinical trials. Traditional animal models do not always accurately reflect human physiology and pathology, leading to ...

Abstract Upper-limb prosthesis users usually lack comprehensive feedback or touch. This significantly hinders their ability to interact with their environment and lead normal lives. This research involves the development...

Robot arm control is a difficult problem. Fuzzy controllers have been applied succesfully to this control task. However, the definition of the rule base and the membership functions is itself a big problem. In this paper...