Optimization approaches for robot trajectory planning
نویسندگان
چکیده
منابع مشابه
Optimal Trajectory Planning of a Box Transporter Mobile Robot
This paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. In non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. To this end, dynamic grasp concept is employed for a box manipulation task and corresponding conditions are obtained an...
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This article presents a novel approach, named MCMP (Monte Carlo Motion Planning), to the problem of motion planning under uncertainty, i.e., to the problem of computing a low-cost path that fulfills probabilistic collision avoidance constraints. MCMP estimates the collision probability (CP) of a given path by sampling via Monte Carlo the execution of a reference tracking controller (in this pap...
متن کاملRobot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
1 Universidade de Trás-os-Montes e Alto Douro, Dep. de Engenharia Electrotécnica, Quinta de Prados, 5000–911 Vila Real, Portugal, {epires,oliveira}@utad.pt, http://www.utad.pt/ ̃epires http://www.utad.pt/ ̃oliveira 2 Instituto Superior de Engenharia do Porto, Dep. de Engenharia Electrotécnica, Rua Dr. António Bernadino de Almeida, 4200-072 Porto, Portugal [email protected], http://www.dee.isep....
متن کاملOptimal Trajectory Planning of a Mobile Robot with Spatial Manipulator For Spatial Obstacle Avoidance
Mobile robots that consist of a mobile platform with one or many manipulators mounted on it are of great interest in a number of applications. Combination of platform and manipulator causes robot operates in extended work space. The analysis of these systems includes kinematics redundancy that makes more complicated problem. However, it gives more feasibility to robotic systems because of the e...
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ژورنال
عنوان ژورنال: Multidisciplinary Journal for Education, Social and Technological Sciences
سال: 2018
ISSN: 2341-2593
DOI: 10.4995/muse.2018.9867