in this project guidance and control of underwater robot, including three engines and propeller attached to it, by fuzzy control has been investigated. fuzzy control is done based on human experience and requiered laws. the robot can also be controlled and guided by the user. this robot may be used in sea or swimming pool environment for finding goal point and locate in desired direction. in ad...

This paper presents a path planning method for a mobile robot in an environment that is unknown and can change. This method relies on continually sensing the local environment. Robot and personnel safety is a dominant and essential requirement for this path planning method. A new method for obtaining safe directions in a tessellated map of the environment is introduced. Linear combination of ve...

This paper covers the problem of Collision Free Path Planning for an autonomous robot and proposes a solution to it through the Back Propagation Neural Network. The solution is transformed into a composition of matrix-multiplication operations, which is a classic example of problems that can be efficiently parallelized. This paper finally proposes a parallel implementation of this matrix-multip...

To tackle with mobile robot path planning problem, we developed a novel path planning method utilized 3D grid map. Firstly we construct point cloud map using mobile robot equipped with 3D-LRF, then we transform point cloud into octree data structure, getting 3D grid map. We take mobile robots size and motion into consideration, develop a D* lite algorithm based path planning method which can ge...

Path planning is an important topic in robotics. Recently, value iteration based deep learning models have achieved good performance such as Value Iteration Network(VIN). However, previous methods suffer from slow convergence and low accuracy on large maps, hence restricted path for agents with complex kinematics legged robots. Therefore, we propose a new method called Capability Network(CIN). ...

In this paper, a motion planning system for a mobile robot is proposed. Path planning tries to find a feasible path for mobile robots to move from a starting node to a target node in an environment with obstacles. A genetic algorithm is used to generate an optimal path by taking the advantage of its strong optimization ability. Mobile robot, obstacle and target localizations are realized by mea...

The PRM (probabilistic roadmap method) path planning algorithm is applied to the mobile robot path planning problem of limited environment. And a path optimization algorithm based on modified node enhancement strategies and geometric smoothing is proposed. The node enhancing method is used to optimize the initial planning with the base PRM algorithm, the original path nodes are gradually substi...

The paper deals with a set of algorithms including path planning, trajectory planning, and path tracking for a tricycle type wheeled mobile robot. Path planning is carried out with parametric polynomial interpolation using an optimization algorithm based on robot geometric constraints. Trajec-tory characteristics are then derived from the planned geometric path with time varying parameters. A s...

This paper presents LQG-MP (linear-quadratic Gaussian motion planning), a new approach to robot motion planning that takes into account the sensors and the controller that will be used during execution of the robot’s path. LQGMP is based on the linear-quadratic controller with Gaussian models of uncertainty, and explicitly characterizes in advance (i.e., before execution) the a-priori probabili...