"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

🤖 A motion planning MATLAB & V-rep implementation for the KUKA LBR iiwa robotic arm, performing null-space reconfiguration for obstacle avoidance.

This contain a drone simulated in V-REP (CoppeliaSim)

Diverse, Noisy and Parallel: a New Spiking Neural Network Approach for Humanoid Robot Control

Quadrotor control using deep reinforcement learning

MSc Project aimed at finding an alternative way of representing robot actions. We evaluate several machine learning models to control a simulated 7-joint robotic arm using solely a wrist mounted camera as input.

My Udacity Machine Learning Nanodegree capstone project in Reinforcement Learning

Simulated Baxter Robot writing "hello"

Drawing Robot in V-REP with help of MATLAB (for Image processing)

Simulation and control of Raven 2 surgical robot in V-REP

A Software-in-the-Loop simulator for a lane keeping assist system (LKAS) using V-REP to validate the LKAS controller and the lane detection algorithm.

In this repo is to control v-rep / coppealisim robot with ros through keyboard.

Implementation of Bug's algorithms for mobile robots in V-REP simulator

Example of communication with VREP using C++.

Robot Grasping in Cluttered Environment with DDPG&Affordance

Sync a real Universal Robots robot with one in the CoppeliaSim (formerly V-REP) robotics simulator.

Control por Human Machine Interface (HMI) de un Robot Scara físico y su respectiva simulación con Realidad Virtual

Simulation of Suction Arm Manipulator Robot to Pickup Daily Object

A docker image with V-REP simulator.

The 5 basic principles of Robotics namely, Kinematics, Locomotion, Perception, Localization, and both planning and navigation have been used to operate various mobile robots in multiple Simulation Environments.