Collision-tolerant control for hybrid joint based arm of nonholonomic mobile manipulator in human-robot symbiotic environments

A human-symbiotic safe mobile manipulator with nonholonomic constraint is described to realize human safety, impact force absorbing and task fulfillment. The robot consists of an arm covered with soft materials and hybrid joints, which can be put into active or passive mode as needed. In an unexpected or expected collision with human, the arising impulse force is attenuated effectively by the physical model formed with the hybrid joint and the soft material. Owing to the displacement movement of the link when the joint is passive, a recovery control algorithm has been developed for the end-effector to maintain its desired task position after the collision. Simulation and experiment results confirm that the proposed physical model is suitable for robot working in the human-robot symbiotic environment and the control method are useful for robot's task fulfillment. ©2005 IEEE.Link_to_subscribed_fulltex

Safety Warning of Mine Conveyor Belt Based on Binocular Vision

For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides safety-warning data of over-volume limits for mine conveyor belts, and prevents damage to the mine conveyor belts. In this design, first, by obtaining the binocular camera parameters to improve the image-edge information, images taken with a binocular camera were then aligned by the Bouguet stereo correction algorithm. Finally, the disparity map was calculated by the semi-global-block matching (SGBM) stereo matching, and to get the target 3D coordinates, volume measurements were performed by the micrometric method. The study shows that the experimental error remains at about 5.65%, which provides a low-cost measurement method for raw-coal-volume measurement of the well industry and coal-mine belt conveyor

Safety Warning of Mine Conveyor Belt Based on Binocular Vision

For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides safety-warning data of over-volume limits for mine conveyor belts, and prevents damage to the mine conveyor belts. In this design, first, by obtaining the binocular camera parameters to improve the image-edge information, images taken with a binocular camera were then aligned by the Bouguet stereo correction algorithm. Finally, the disparity map was calculated by the semi-global-block matching (SGBM) stereo matching, and to get the target 3D coordinates, volume measurements were performed by the micrometric method. The study shows that the experimental error remains at about 5.65%, which provides a low-cost measurement method for raw-coal-volume measurement of the well industry and coal-mine belt conveyor