«Robot Motion planning»
۶۵۶۱ نتیجهRobot motion planning for the humanoid robot HOAP-3
In the field of robotics there is a great interest in developing strategies and algorithms to reproduce humanlike behavior. Programming a humanoid robot to walk is a challenging problem. Traditional approaches rely heavily on prior knowledge of the robot’s physical parameters to
Robot Motion Planning with Neuro-Genetic-Fuzzy Approach in Dynamic Environment
To find an optimal path for robots in an environment that is only partially known and continuously changing is a difficult problem. This paper presents a new method for generating a collision-free near-optimal path for an autonomous mobile robot in a dynamic environment containin
Modeling Motion Uncertainty of Moving Obstacles for Robot Motion Planning
This paper describes a method of modeling the motion uncertainty of moving obstacles and its application to mobile robot motion planning. The method explicitly considers three sources of motion uncertainty: path ambiguity, velocity uncertainty, and observation uncertainty. The mo
Sampling-based Multi-robot Motion Planning
This paper describes a sampling-based approach to multi-robot motion planning. The proposed approach is centralized, which aims to reduce interference between mobile robots such as collision, congestion and deadlock, by increasing the number of waypoints. The implementation based
Probabilistic Uncertainty Modeling of Obstacle Motion for Robot Motion Planning
This paper describes a method of modeling the motion uncertainty of moving obstacles and its application to mobile robot motion planning. The method explicitly considers three sources of uncertainty: path ambiguity, velocity uncertainty, and observation uncertainty. The uncertain
Robot Motion Planning in Dynamic Environments with Moving Obstacles and Target
This paper presents a new sensor-based online method for generating collision-free near-optimal paths for mobile robots pursuing a moving target amidst dynamic and static obstacles. At each iteration, first the set of all collision-free directions are calculated using velocity ve
Differentially constrained mobile robot motion planning in state lattices
We present an approach to the problem of differentially constrained mobile robot motion planning in arbitrary cost fields. The approach is based on deterministic search in a specially discretized state space. We compute a set of elementary motions that connects each discrete stat
Advanced Algorithms for Mobile Robot Motion Planning and Tracking in Structured Static Environments Using Particle Swarm Optimization*
An approach to intelligent robot motion planning and tracking in known and static environments is presented in this paper. This complex problem is divided into several simpler problems. The first is generation of a collisionfree path from starting to destination point, which is s
Probabilistic Road Map sampling strategies for multi-robot motion planning
This paper presents a Probabilistic Road Map (PRM) motion planning algorithm to be queried within Dynamic Robot Networks—a multi-robot coordination platform for robots operating with limited sensing and inter-robot communication. First, the Dynamic Robot Networks (DRN) coordinati
Rough-terrain Robot Motion Planning Based on Topology and Terrain Constitution
We present a randomised potential-field based motion planning approach for rough-terrain mobile robot navigation. The motion planning component is closely integrated with a real-time capable rigid-body kinematics and dynamics simulation module. The terrain is approximated as a po