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This paper presents a novel planner for manipulators and robots in changing environments. When environments are complicated, it's always difficult to find a completely valid path solution, which is essential for many methods. However, our planner searches for several path segments to make robot move towards its goal as much as possible even though such a complete solution doesn't exist currently....
Planning manipulation path for virtual human arm takes an important role in such areas as computer animation and virtual maintenance engineering. The problem is usually defined to find a feasible non-collision path to connect initial configuration and goal configuration in joint configuration space. Since users are more concerned about the position and orientation of end-effector for reaching and...
Path planning for robots with many degrees of freedom (dof) receives continuous interest in both robotics and computer graphics communities. A variety of random sampling-based methods have been proposed to solve the path planning problems in high-dimensional configuration space, including Probabilistic Roadmap Method (PRM) and Rapidly-exploring Random Trees (RRTs). However, the efficiency will be...
This paper proposes a new method of pest detection and positioning based on binocular stereo to get the location information of pest, which is used for guiding the robot to spray the pesticides automatically. The production of agricultural cultivation in greenhouse requires of big quantities of pesticides for pest control. Pesticides application is a major component of plant production costs in greenhouse,...
Multi-agent systems (MAS) have emerged as an active sub field of artificial intelligence. Robotic soccer is a typical multi-agent systems, wherein the challenge is to develop and hone the skills of the agents that take part in the game. This paper proposes an interception strategy based on rough sets with dominance relation, in which the methods of knowledge reduction and rule extraction are investigated...
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