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This paper proposes a method for human activity classification in home based monitoring. The proposed approach is based on minimum jerk (MinJerk), a primary model for smooth path planning employed by human motor control in upper-extremity motion. Based on new evidences that show common control strategies in lower and upper extremity, MinJerk is adapted in our study to estimate the foot motion with...
This paper works with the concept of Divergent Component of Motion (DCM), also called ‘(instantaneous) Capture Point’. We present two real-time DCM trajectory generators for uneven (three-dimensional) ground surfaces, which lead to continuous leg (and corresponding ground reaction) force profiles and facilitate the use of toe-off motion during double support. Thus, the resulting DCM trajectories are...
This paper proposes a reactive motion controller for a humanoid robot to maintain balance against a large disturbance, by relatively stepping. A reactive step is performed by the robot, so that it reduces the disturbance force. Several problems are addressed: first the motion is designed to ensure the respect of stepping constraints such as a dynamical stability, motion feasibility of the swing leg...
In this paper, a humanoid is simulated and implemented to walk up and down a staircase using the blending polynomial and univariate dynamic encoding algorithm for searches (uDEAS). The motivation of this paper is to divide efficient walking step for a commercial humanoid when ascending and descending a stair. Therefore ascending and descending a staircase are each scheduled by four steps. Each step...
In this paper, a bipedal locomotion planning with double support phase based on linear inverted pendulum (LIPM) is proposed. In order to achieve the desired center of gravity (COG) position and velocity in walking motion of the bipedal robot, in calculation of COG trajectory in double support phase, 5 dimension polynomial is used to realize the desired motion. Foot placement and COG trajectory are...
This paper proposes a new method of trajectory planning for biped robots walking on flat terrain. In this approach, the hip and foot trajectories are designed in Cartesian space using polynomial interpolation. The key parameters which define the hip and foot trajectories are searched by genetic algorithm. The objective is to obtain stable walking trajectory with minimized joint-torques requirement...
This paper proposes a new method of trajectory planning for biped robots walking on level ground. In this approach, the hip and foot trajectories are designed in Cartesian space using polynomial interpolation. The key parameters which define the trajectories are searched by genetic algorithm. The objective is to obtain the best trajectory that has large stability margin and low energy consumption...
Designing smooth and stable trajectories for control of the biped robots is a challenging problem that is the focus of this article. A desired trajectory for the lower body will be designed to alleviate the impacts due to contact with the ground. This is obtained by fitting proper polynomials at appropriate break points. Then, planning the upper body motion is accomplished based on the zero moment...
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