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In this work we present a novel and generic framework for reactive collision avoidance in bipedal locomotion, which is formulated as an optimization problem considering the constraints of collision avoidance as well as others (e.g. joint limits) to simultaneously satisfy both Cartesian and joint space objectives. To realize the reactive behaviors, several task space motions, such as the translational...
Studies on power-assist robots are actively performed to assist human motion. Some of them are applied to assist the daily motion of physically weak persons such as elderly persons. Perception-assist was proposed to avoid an unexpected accident of users of the power-assist robot. In perception-assist, a virtual wall is sometimes used to avoid stumbling accident. In this paper, an effective shape of...
The ability to avoid collisions is crucial for locomotion in cluttered environments. It is not enough to plan collision-free movements in advance when the environment is dynamic and not precisely known. We developed a new method which generates locally optimized trajectories online during the feedback control in order to dynamically avoid obstacles. This method successfully combines a local potential...
The objective of this paper is to propose an approach for generating on-line walking patterns for a biped robot to navigate towards destination and reactively avoid obstacles. Kinect-based sensor system detects obstacles with velocity and dimension estimated for obstacle modeling. With identified obstacles, repulsion vectors of potential field given by obstacles modify walking path of a biped robot...
Trotting on irregular terrain is a difficult task as undesirable impulse force by collision between robot foot and an obstacle makes the robot unstable. To cope with the problem, in this paper, variable impedance control algorithm changing leg impedance parameters according to the change of finite trot states is proposed. The state of quadruped trot is divided into five phases and the impedance parameters...
In this paper, we propose a novel and coherent framework for fast footstep planning for legged robots on a flat ground with 3-D obstacle avoidance. We use swept volume approximations that are computed offline in order to considerably reduce the time spent in collision checking during the online planning phase, in which a rapidly exploring random tree variant is used to find collision-free sequences...
Many walking pattern generators for humanoid robots require predefined trajectories for the robot to track. This inflexibility limits the range of real-world environments that the robot can navigate through. For environments with obstacles and inconsistent terrain, the ability to change the walking trajectory becomes valuable. Using a miniature humanoid, a three-dimensional inverted pendulum model...
Balance and stability are critical issues for a humanoid robot, and various different strategies have been employed to increase their robustness and respond to disturbances while walking, such as adjusting the torso's trajectory, or changing the foot's touchdown location. In the presence of obstacles or rough terrain, however, changing the touchdown location can be dangerous, causing collisions or...
Bipedal locomotion has good obstacle avoidance properties. A robot with human appearance has advantages in human-robot communication. However, walking control is difficult due to the complex robot dynamics involved. Stable reference generation is significant in walking control. The Linear Inverted Pendulum Model (LIPM) and the Zero Moment Point (ZMP) criterion are applied in a number of studies for...
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...
The work presented in this paper deals with the generation of trajectories for humanoid robots imitating human gaits captured with a motion capture system. Once the human motion is recorded, this one is modified to be adapted to the robot morphology. The proposed method could be used for human-like robots of different sizes and masses. The generated gaits are closed to the humans ones while respecting...
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