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This paper presents a hybrid adaptive fuzzy control of bio-robotic leg. A mathematical dynamic model of bio-robotic leg having three links i.e. thigh, shank and foot is considered here. The Lagrange-Euler formulation is used to obtain the dynamic equations of motion for calculating torques at various joints. Since the dynamics of leg is a highly complex and nonlinear system, hybrid adaptive fuzzy...
This paper focuses on steering a 3D robot while walking on a flat surface. A hybrid feedback controller designed in for stable walking along a straight line is modified so that it is capable of adjusting the net yaw rotation of the robot over a step in order to steer the robot along paths with mild curvature. The controller is designed on the basis of a single pre-defined trajectory for periodic walking...
The this work deals with neural network-based gait-pattern adaptation algorithms for an active lower limbs orthosis. Stable trajectories are generated during the optimization process, considering a stable trajectory generator based on the Zero Moment Point criterion and the inverse dynamic model. Additionally, two neural network (NN) are used to decrease the time-consuming computation of the model...
This paper introduces a cooperative control algorithm that designs a stable biped walk satisfying a wearer's intention relating to his/her walk such as a timings to start and stop walking, walking speed and waking direction. Using this algorithm an exoskeletal walking support system could help a paraplegia patient walking comfortablly. At first, a pair of gloves with several DOFs is developed to convey...
Robotic aided therapy has been developed in the last decades in order to improve the effects of gait rehabilitation on stroke patients. Although several platforms have nowadays used in clinical practice, contrasting results have been achieved with reduced significant improvements in stroke patients when they experience robotic based therapy. In particular, an improvement of the clinical outcome may...
This paper describes the development of a gait rehabilitation system with a locomotion interface (LI). The LI consists of two 2 DOF manipulators equipped with footpads. These can move the user's feet while his or her body remains stationary. The footpads follow the prerecorded motion of the feet of a healthy individual. For gait training, the user progresses iteratively through successively more advanced...
This paper discusses interaction control of a programmable footpad-type gait rehabilitation robot which allows walking velocity updates on various terrains for patients' active walking. In human, there exists a neuronal coordination of arm and leg. When humans walk, both the upper and lower limb are moving together synchronized at one to one frequency. Additionally it has been known that providing...
Interactive control schemes are rapidly gaining popularity in the control of robotic gait trainers. Interactive control allows for the modification of the support level based on the patient's performance. However, only few algorithms exist that adapt the support to the patient's needs. The aim of this study was to assess the feasibility of an adaptive and selective method to support a specific subtask...
The HapticWalker is a robotic walking simulator for neurological gait rehabilitation. The device is based on the end-effector principle, i.e. the patients' feet are fixed on two footplates, his trunk is secured via a suspension harness. The footplates (end-effectors) of the robot guide the feet of the patient on freely programmable trajectories. Currently two different training modes are provided...
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