Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
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Updated
Sep 27, 2023 - Python
Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
🖖 Robotiq 2F Series library written in Java
Implementation of Robotiq Hand-E.
Modbus interface to control a Robotiq gripper (2F-85 or 2F-140 or Hand-E) from a Doosan robot
Control 3f robotiq gripper using python and modbus client
Provide a common API to many useful robotics libraries
Contains meshes and URDF description of the Robotiq Hand-E gripper.
C++ interface for robotiq epick gripper
capture UR3 data and optoforce data in "real time"
This repository contains ROS2 packages for controlling a UR5 robot with a Robotiq gripper, facilitating precise pick and place operations using MoveIt and providing a comprehensive toolkit for ROS2-based UR5 manipulation.
Catkin workspace for the PeARL laboratory at University of Massachusetts - Lowell
URDF model of Robotiq 2-Finger Adaptive Robot Gripper 85
A grasp simulation environment in gazebo: UR robot arm with a 85mm robotiq gripper that can be drived to grasp things through moveit
Force controlled assembly process. In real and simulated environment. Using Universal Robots UR5, ROS, Gazebo.
ROS package for Robotiq Gripper 85 and Hand-e
Simulator of UR5 robotic arm with Robotiq gripper, built with MuJoCo
Dual UR5 Husky Robot MuJoCo Model
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