Industrial Robots

15 papers with code • 0 benchmarks • 1 datasets

An industrial robot is a robot system used for manufacturing. Industrial robots are automated, programmable and capable of movement on three or more axes.

Most implemented papers

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

jhu-lcsr/costar_plan 27 Oct 2018

We show that a mild relaxation of the task and workspace constraints implicit in existing object grasping datasets can cause neural network based grasping algorithms to fail on even a simple block stacking task when executed under more realistic circumstances.

Introducing the Robot Vulnerability Database (RVD)

aliasrobotics/RVD 24 Dec 2019

Cybersecurity in robotics is an emerging topic that has gained significant traction.

You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

wenbowen123/catgrasp 30 Jan 2022

The canonical object representation is learned solely in simulation and then used to parse a category-level, task trajectory from a single demonstration video.

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

sabeaussan/ROS_Unity 22 Sep 2017

We extensively evaluate our approaches with a total of more than 25, 000 physical test grasps, studying a range of simulation conditions and domain adaptation methods, including a novel extension of pixel-level domain adaptation that we term the GraspGAN.

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

swchui/VTFSA 16 Oct 2017

In this work, we investigate the question of whether touch sensing aids in predicting grasp outcomes within a multimodal sensing framework that combines vision and touch.

An Internet of Things humanoid robot teleoperated by an open source Android application

angelopoulosG/IoT-Humanoid-Robot 17-18 Nov 2018

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human interaction.

Hardware Conditioned Policies for Multi-Robot Transfer Learning

taochenshh/hcp NeurIPS 2018

In tasks where knowing the agent dynamics is important for success, we learn an embedding for robot hardware and show that policies conditioned on the encoding of hardware tend to generalize and transfer well.

Learning to combine primitive skills: A step towards versatile robotic manipulation

rstrudel/rlbc 2 Aug 2019

Manipulation tasks such as preparing a meal or assembling furniture remain highly challenging for robotics and vision.

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

clvrai/furniture 17 Nov 2019

The IKEA Furniture Assembly Environment is one of the first benchmarks for testing and accelerating the automation of complex manipulation tasks.

Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications

andreadegiorgio/cylindrical-astar 23 Sep 2020

Since path optimization is the core of any search algorithms, including A*, the 4D cylindrical grid provides for a search space that can embed further knowledge in form of cell properties, including the presence of obstacles and volumetric occupancy of the entire industrial robot body for obstacle avoidance applications.