Abstract: Implementations described and claimed herein involve a shoulder exoskeleton having a spherical parallel manipulator with a plurality of parallel linear actuators connected to a base coupled to a user's arm. A passive slip mechanism is operatively coupled to the spherical parallel manipulator as well as being coupled to the user's arm. The slip mechanism increases system mobility and prevents joint misalignment caused by the translational motion of the user's glenohumeral joint from introducing mechanical interference.

Abstract: Implementations involve a shoulder exoskeleton having a spherical parallel manipulator with a plurality of parallel linear actuators connected to a base coupled to a user's arm. A passive slip mechanism is operatively coupled to the spherical parallel manipulator as well as being coupled to the user's arm. The slip mechanism increases system mobility and prevents joint misalignment caused by the translational motion of the user's glenohumeral joint from introducing mechanical interference.

Abstract: A system and a method for hybrid brain computer interface for controlling a robotic swarm are disclosed. The system comprises: a control interface for defining a plurality of electrodes configured for accessing a plurality of brain signals associated with a plurality of channels located over a sensorimotor cortex; a processor, in operative communication with the control interface, configured to: train a machine learning model to associate a brain state with data defining a brain signal, decode a control signal of the plurality of brain signals to generate control data, apply the control data to the machine learning model to identify the brain state, and transmit instructions to a plurality of robotic devices to modify a density of the plurality of robotic devices based on the brain state; and an input device, in operable communication with the processor, for generating input data, the input data utilized by the processor to modify a position of the plurality of robotic devices.

Abstract: A first rotorcraft is provided, including a plurality of first coupling points. A second rotorcraft is provided, including a plurality of second coupling points. The first rotorcraft is mechanically coupled to the second rotorcraft using the plurality of first coupling points and the plurality of second coupling points to form a coupled configuration. A joint controller is implemented to maneuver the first rotorcraft and the second rotorcraft of the coupled configuration. Gains associated with the joint controller are set dependent on the application and anticipated maneuvers. The gains are scheduled to be moderate at time instances immediately following the formation of the coupled configuration and then the gains are changed to more aggressive values once the coupled configuration has been stabilized.

Abstract: Systems and methods for simultaneous position and impedance control for myoelectric interfaces are disclosed herein. Properties such as control refinement, retention, generalization, and transfer allow users to learn simultaneous and proportional motion simply by interacting with a myoelectric interface, regardless of its initial intuitiveness. The presently disclosed technology expands on these motor learning approaches by implementing a multidirectional impedance controller in this framework. Using sEMG inputs from upper limb muscles, users simultaneously control both the stiffness and set-point of 3-DOFs. Users stabilize control in the presence of external forces in an analogous way to natural limb movements. Despite having no haptic feedback, subjects learn to tune the stiffness of the object being controlled to stabilize movement along desired paths.

Abstract: A system and a method for hybrid brain computer interface for controlling a robotic swarm are disclosed. The system comprises: a control interface for defining a plurality of electrodes configured for accessing a plurality of brain signals associated with a plurality of channels located over a sensorimotor cortex; a processor, in operative communication with the control interface, configured to: train a machine learning model to associate a brain state with data defining a brain signal, decode a control signal of the plurality of brain signals to generate control data, apply the control data to the machine learning model to identify the brain state, and transmit instructions to a plurality of robotic devices to modify a density of the plurality of robotic devices based on the brain state; and an input device, in operable communication with the processor, for generating input data, the input data utilized by the processor to modify a position of the plurality of robotic devices.

Abstract: Implementations described and claimed herein involve a shoulder exoskeleton having a spherical parallel manipulator with a plurality of parallel linear actuators connected to a base coupled to a user's arm. A passive slip mechanism is operatively coupled to the spherical parallel manipulator as well as being coupled to the user's arm. The slip mechanism increases system mobility and prevents joint misalignment caused by the translational motion of the user's glenohumeral joint from introducing mechanical interference.

Abstract: Implementations described and claimed herein involve a shoulder exoskeleton having a spherical parallel manipulator with a plurality of parallel linear actuators connected to a base coupled to a user's arm. A passive slip mechanism is operatively coupled to the spherical parallel manipulator as well as being coupled to the user's arm. The slip mechanism increases system mobility and prevents joint misalignment caused by the translational motion of the user's glenohumeral joint from introducing mechanical interference.

Abstract: A first rotorcraft is provided, including a plurality of first coupling points. A second rotorcraft is provided, including a plurality of second coupling points. The first rotorcraft is mechanically coupled to the second rotorcraft using the plurality of first coupling points and the plurality of second coupling points to form a coupled configuration. A joint controller is implemented to maneuver the first rotorcraft and the second rotorcraft of the coupled configuration. Gains associated with the joint controller are set dependent on the application and anticipated maneuvers. The gains are scheduled to be moderate at time instances immediately following the formation of the coupled configuration and then the gains are changed to more aggressive values once the coupled configuration has been stabilized.

Abstract: Systems and methods for simultaneous position and impedance control for myoelectric interfaces are disclosed herein. Properties such as control refinement, retention, generalization, and transfer allow users to learn simultaneous and proportional motion simply by interacting with a myoelectric interface, regardless of its initial intuitiveness. The presently disclosed technology expands on these motor learning approaches by implementing a multidirectional impedance controller in this framework. Using sEMG inputs from upper limb muscles, users simultaneously control both the stiffness and set-point of 3-DOFs. Users stabilize control in the presence of external forces in an analogous way to natural limb movements. Despite having no haptic feedback, subjects learn to tune the stiffness of the object being controlled to stabilize movement along desired paths.

Abstract: Embodiments of a coupling system include a brace member, a plurality of coupling members, and a plurality of magnetic bodies that permit an individual to be attached or detached from a robotic device. The coupling system may serve as a detachable interface between an individual engaged to the robotic device.

Abstract: A variable stiffness treadmill system having a variable stiffness mechanism, a split-belt treadmill, a counterweight system, and a body weight support for supporting an individual and varying the stiffness below the individual on the treadmill for research and rehabilitation.

Abstract: Embodiments for systems and methods of a variable stiffness treadmill for gait rehabilitation using mechanical perturbations on the unimpaired leg to provide therapy to the impaired leg are disclosed.

Abstract: An implicit motor control training system for functional prosthetic device training is provided as a novel approach to rehabilitation and functional prosthetic controls by taking advantage of a human's natural motor learning behavior while interacting with electromyography.

Abstract: A variable stiffness treadmill system having a variable stiffness mechanism, a split-belt treadmill, a counterweight system, and a body weight support for supporting an individual and varying the stiffness below the individual on the treadmill for research and rehabilitation.

Abstract: Embodiments for systems and methods of a variable stiffness treadmill for gait rehabilitation using mechanical perturbations on the unimpaired leg to provide therapy to the impaired leg are disclosed.

Abstract: Embodiments of a coupling system include a brace member, a plurality of coupling members, and a plurality of magnetic bodies that permit an individual to be attached or detached from a robotic device. The coupling system may serve as a detachable interface between an individual engaged to the robotic device.