Exoskeleton systems that can enhance people’s performance or assist disabled people have been investigated in recent years. However, most exoskeletons utilize DC motors with batteries as the driving source. While the motors require a lot of power, the working time of the exoskeletons is a limiting factor for the implementation of mobile exoskeletons. This paper proposes a new legexoskeleton that uses a magnetorheological (MR) actuator to provide controllable assistive torque. The designed MR device can function as a brake or clutch according to the working states of the user. When adjustable passive torque is preferred, the MR device will work as a brake, thus only very low power is consumed; when active torque is required, the MR device will work as a clutch, which transfers the torque generated by the motor to the user’s leg. The working states of the knee joint are determined by measuring the knee joint angle and the floor reaction force. Utilizing the MR actuator, the exoskeleton will be more energy efficient.

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Shoulder girdle movement is critical for stabilizing and orientating the arm during daily activities. During robotic arm rehabilitation with stroke patients, the robot must assist movements of the shoulder girdle. Shoulder girdle movement is characterized by a highly nonlinear function of the humeral orientation, which is different for each person. Hence it is improper to use pre-calculated shoulder girdle movement. If an exoskeleton robot cannot mimic the patient’s shoulder girdle movement well, the robot axes will not coincide with the patient’s, which brings reduced range of motion (ROM) and discomfort to the patients. A number ofexoskeleton robots have been developed to assist shoulder girdle movement. The shoulder mechanism of these robots, along with the advantages and disadvantages, are introduced. In this paper, a novel shoulder mechanism design of exoskeleton robot is proposed, which can fully mimic the patient’s shoulder girdle movement in real time.

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To perform essential daily activities the movement of shoulder, elbow, and wrist play a vital role and therefore proper functioning of upper-limb is very much essential. We therefore have been developing an exoskeleton robot (ExoRob) to rehabilitate and to ease upper limb motion. Toward to make a complete (i.e., 7DOF) upper-arm motion assisted robotic exoskeleton this paper focused on the development of a 2DOF exoskeleton robot to rehabilitate the elbow and forearm movements. The proposed 2DOF ExoRob is supposed to be worn on the lateral side of forearm and provide naturalistic range movements of elbow (flexion/extension) and forearm (pronation/supination) motions. This paper also focuses on the modeling and control of the proposed ExoRob. A kinematic model of the ExoRob has been developed based on modified Denavit-Hartenberg notations. Nonlinear sliding mode control technique is employed in dynamic simulation of the proposed ExoRob, where trajectory tracking that corresponds to typical rehab (passive) exercises has been carried out to evaluate the effectiveness of the developed model and controller. Simulated results show that the controller is able to maneuver the ExoRob efficiently to track the desired trajectories, which in this case consisted in passive arm movements. These movements are widely used in rehab therapy and could be performed efficiently with the developed ExoRob and the controller.

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This paper presents a force-based control mode for a hand exoskeleton. This device has been developed with focus on support of the rehabilitation process after hand injuries or strokes. As the device is designed for the later use on patients, which have limited hand mobility, fast undesired movements have to be averted. Safety precautions in the hardware and software design of the system must be taken to ensure this. The construction allows controlling motions of the finger joints. However, due to friction in gears and mechanical construction, it is not possible to move finger joints within the construction without help of actuators. Therefore force sensors are integrated into the construction to sense force exchanged between human and exoskeleton. These allow the human to control the movements of the hand exoskeleton, which is useful to teach new trajectories or can be used for diagnostic purposes. The force control scheme presented in this paper uses the force sensor values to generate a trajectory which is executed by a position control loop based on sliding mode control

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In this paper our experience in the realization and use of exoskeleton devices as multimodal man-machine interfaces is discussed. Even with the introduction of advanced vision-based techniques, the exoskeleton remains one of the best solutions for acquisition of moving human figures for medical analysis, movement analysis, dance, or to realize special effects in movies, and videos as man/animation interaction. The last realization of an exoskeleton is described and also the applications used to test it

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