Robot System for Bin Picking and Kitting

Development and Evaluation of a Kinect based Bin-Picking System

Fast Object Registration and Robotic Bin Picking

Businesses have invested a lot of money into intelligent machine vision, industrial robotics and automation technology. The proposed solution of this paper deals with industrial applications of robotic bin picking. In this paper, a pose estimation approach is introduce to determine the coarse position and rotation of a known object using commonly available image processing tools applied to 3D l...

Human-robot Collaboration for Bin-picking Tasks to Support Low-volume Assemblies

In this paper, we present a framework to create hybrid cells that enable safe and efficient human-robot collaboration (HRC) during industrial assembly tasks. We present our approach in the context of bin-picking, which is the first task performed before products are assembled in certain low-volume production scenarios. We consider a representative one-robot one-human model in which a human and ...

Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences

Recent results suggest that it is possible to grasp a variety of singulated objects with high precision using Convolutional Neural Networks (CNNs) trained on synthetic data. This paper considers the task of bin picking, where multiple objects are randomly arranged in a heap and the objective is to sequentially grasp and transport each into a packing box. We model bin picking with a discrete-tim...

Dynamic Simulation System Using DOF Picking Robot

A visualized dynamic simulation platform of picking robot based on OpenGL and Matlab is established in order to verify the validity of kinematics analysis and visually reflect the motion process. The robot kinematic model is established with D-H method and the forward kinematic solution for the robot is obtained. The inverse kinematic solution is solved by using the simplified inverse transform...