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Lower limb dynamic cadaveric gait simulators are useful to investigate the biomechanics of the foot and ankle, but many systems have several common limitations, which include simplified tendon forces, nonphysiologic tibial kinematics, greatly reduced velocities, scaled body weight (BW), and, most importantly, trial-and-error vertical ground reaction force (vGRF) control. This paper presents the design,...
In order to interact with human environments, humanoid robots require safe and compliant control which can be achieved through force-controlled joints. In this paper, full body step recovery control for robots with force-controlled joints is achieved by adding model-based feed-forward controls. Push Recovery Model Predictive Control (PR-MPC) is presented as a method for generating full-body step recovery...
This paper discusses biped walking which is robust to external disturbances and how it could be realized by means of achieving compliance and dynamic trajectory generation. A method of limiting the ground reaction forces is presented. It is mathematically equivalent to a conventional position control system when the ground reaction forces are within the set limits, therefore in this case the positioning...
We present a novel momentum-based method for maintaining balance of humanoid robots. By controlling the desired ground reaction force (GRF) and center of pressure (CoP) at each support foot, our method can naturally deal with non-level and non-stationary ground at each foot-ground contact, as well as different frictional properties. We do not make use of the net GRF and CoP which may be difficult...
This paper proposes a new framework to recover balance against external forces by combining disturbance suppression and reactive stepping. In the view point of the feedback control, a reactive step can help to diminish the disturbance caused by an external force that should be compensated to maintain balance. In other words, if the adequate step is performed, the feedback controller does not have...
We present a control architecture for fast quadruped locomotion over rough terrain. We approach the problem by decomposing it into many sub-systems, in which we apply state-of-the-art learning, planning, optimization and control techniques to achieve robust, fast locomotion. Unique features of our control strategy include: (1) a system that learns optimal foothold choices from expert demonstration...
This paper describes a real-time walking control system developed for the biped robots JOHNNIE and LOLA. Walking trajectories are planned on-line using a simplified robot model and modified by a stabilizing controller. The controller uses hybrid position/force control in task space based on a resolved motion rate scheme. Inertial stabilization is achieved by modifying the contact force trajectories...
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