Local swing leg control was developed that takes advantage of segment interactions to achieve robust leg placement under large disturbances while generating trajectories and joint torque patterns similar to those observed in human walking and running. The results suggest the identified control as a powerful alternative to existing swing leg controls in humanoid and rehabilitation robotics. Alternatively, a detailed neuromuscular model of the human swing leg was developed to embody the control with local muscle reflexes. The resulting reflex control robustly places the swing leg into a wide range of landing points observed in human walking and running, and it generates similar patterns of joint torques and muscle activations. The results suggest an alternative to existing swing leg controls in humanoid and rehabilitation robotics which does not require central processing.

An intracorporeal portion of a percutaneous device for a joint disarticulation prosthesis or joint replacement prosthesis, the intracorporeal portion having an extracorporeal portion or having means for rigidly coupling directly to an extracorporeal portion, the extracorporeal portion being for location exterior to the skin, the intracorporeal portion having an articulating component for articulating with an articulating surface, wherein the articulating component is intracorporeal when installed in a human or animal subject.

Example embodiments relate to a control method of a motion assistance apparatus including a fixing module attached to a user, a driving module fixed to the fixing module to generate rotation power, a supporting module configured to support a portion of a body of the user and driven by the driving module, a force sensor configured to measure a magnitude of force applied to the fixing module, and a controller configured to control the driving module, the method including generating, by the driving module, a driving torque to drive the supporting module, measuring a direction and a magnitude of force indicated by the force sensor, calculating a compensation torque to minimize the measured magnitude of force, and driving the driving module by adding the compensation torque to the driving torque.

A model-based neuromechanical controller for a robotic limb having at least one joint includes a finite state machine configured to receive feedback data relating to the state of the robotic limb and to determine the state of the robotic limb, a muscle model processor configured to receive state information from the finite state machine and, using muscle geometry and reflex architecture information and a neuromuscular model, to determine at least one desired joint torque or stiffness command to be sent to the robotic limb, and a joint command processor configured to command the biomimetic torques and stiffnesses determined by the muscle model processor at the robotic limb joint. The feedback data is preferably provided by at least one sensor mounted at each joint of the robotic limb. In a preferred embodiment, the robotic limb is a leg and the finite state machine is synchronized to the leg gait cycle.

A frame module includes a frame configured to enclose a portion of a user, and at least one reinforcement belt of which both end portions are connected to both sides of the frame, thereby restricting a splaying level of the frame in a predetermined direction.

A model-based neuromechanical controller for a robotic limb having at least one joint includes a finite state machine configured to receive feedback data relating to the state of the robotic limb and to determine the state of the robotic limb, a muscle model processor configured to receive state information from the finite state machine and, using muscle geometry and reflex architecture information and a neuromuscular model, to determine at least one desired joint torque or stiffness command to be sent to the robotic limb, and a joint command processor configured to command the biomimetic torques and stiffnesses determined by the muscle model processor at the robotic limb joint. The feedback data is preferably provided by at least one sensor mounted at each joint of the robotic limb. In a preferred embodiment, the robotic limb is a leg and the finite state machine is synchronized to the leg gait cycle.