CAPABILITY ITERATION NETWORK FOR ROBOT PATH PLANNING, 266-272.
نویسندگان
چکیده
منابع مشابه
Dmd060574 266..272
Nonalcoholic fatty liver disease is the most common chronic liver disease, which can progress to nonalcoholic steatohepatitis (NASH). Previous investigations demonstrated alterations in the expression and activity of hepatic drug transporters in NASH. Moreover, studies using rodent models of cholestasis suggest that compensatory changes in kidney transporter expression occur to facilitate renal...
متن کاملRobot Path Planning Using Cellular Automata and Genetic Algorithm
In path planning Problems, a complete description of robot geometry, environments and obstacle are presented; the main goal is routing, moving from source to destination, without dealing with obstacles. Also, the existing route should be optimal. The definition of optimality in routing is the same as minimizing the route, in other words, the best possible route to reach the destination. In most...
متن کاملStudy of Evolutionary and Swarm Intelligent Techniques for Soccer Robot Path Planning
Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...
متن کاملA Robot Path Planning Scheme Based on Neural Network
A method of Robot path planning based neural network has been raised in order to guarantee that the robot can simultaneously avoid movable obstacle intelligently when it is reaching the destination. In the first instance, every robot will be divided into spheres of influence, and the influence map will be worked out at the same time. Then neural network is used to select the path. In view of th...
متن کاملOptimal Robot Path Planning with Cellular Neural Network
This paper presents a new methodology based on neural dynamics for optimal robot path planning by drawing an analogy between cellular neural network (CNN) and path planning of mobile robots. The target activity is treated as an energy source injected into the neural system and is propagated through the local connectivity of cells in the state space by neural dynamics. By formulating the local c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Robotics & Automation
سال: 2022
ISSN: ['0826-8185', '1925-7090']
DOI: https://doi.org/10.2316/j.2022.206-0598