Simple python binding for Coppelia Robotics V-REP simulator (remote API)

C artificial intelligence that guides an autonomous car through a virtual racetrack.

An indoor mobile robot to map walls

Assignment for Robotics 15/1/2023

University group project concerning the use of an optimal motion planning algorithm to move a mobile that is assigned a navigation task. The optimal motion planning algorithm chosen is the anytime motion planning based on the RRT*, which is a sampling-based algorithm with an asymptotic optimality property. The simulation environment is V-rep.

Application of Kalman filter to wheeled robot simulation in V-Rep

This project uses Improved Grey Wolf Optimizer (IGWO) and Improved Particle Swarm Optimization (IPSO) for robot path planning with Laser Range Finder (LRF) data reduction in CoppeliaSim (V-REP). Robots autonomously navigate unknown environments and avoid collisions using IGWO/IPSO.

Kuka-Youbot Simulation on Coppeliasim/V-Rep

Models of robotic system to solve pathfinding and motion planning tasks in the space with obstacles and it has been developed in V-REP system

A V-REP plugin to import lanelets as meshes

Simple for use Scala binding for Coppelia Robotics V-REP simulator (remote API)

Trabalho acadêmico

Simulation models for robots and robot components, mostly for V-REP

Learn how a robot interacts with the environment using proximity sensors and how it keep itself on track , in the given path.

Scripts and Scene of a YouBot Autonomous Navigation in V-REP

Stopping a tank in front of an obstacle with fuzzy logic.

Perpendicular and parallel car parking with fuzzy logic and Coppelia Sim.

Robot Simulation Framework for V-REP

Obstacle Avoidance Bot training on V-rep using Q learning Algorithm. Neural Networks were used as function approximator for state space