How to train your robot with deep reinforcement learning: lessons we have learned
Deep reinforcement learning (RL) has emerged as a promising approach for autonomously
acquiring complex behaviors from low-level sensor observations. Although a large portion of …
acquiring complex behaviors from low-level sensor observations. Although a large portion of …
Smart industrial robot control trends, challenges and opportunities within manufacturing
Industrial robots and associated control methods are continuously develo**. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …
recent progress in the field of artificial intelligence, new perspectives in industrial robot …
Solving rubik's cube with a robot hand
I Akkaya, M Andrychowicz, M Chociej, M Litwin… - ar** is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
A survey on learning-based robotic gras**
Abstract Purpose of Review This review provides a comprehensive overview of machine
learning approaches for vision-based robotic gras** and manipulation. Current trends and …
learning approaches for vision-based robotic gras** and manipulation. Current trends and …
Learning dexterous in-hand manipulation
We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies that
can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The …
can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The …
Scalable deep reinforcement learning for vision-based robotic manipulation
In this paper, we study the problem of learning vision-based dynamic manipulation skills
using a scalable reinforcement learning approach. We study this problem in the context of …
using a scalable reinforcement learning approach. We study this problem in the context of …
Learning ambidextrous robot gras** policies
Universal picking (UP), or reliable robot gras** of a diverse range of novel objects from
heaps, is a grand challenge for e-commerce order fulfillment, manufacturing, inspection, and …
heaps, is a grand challenge for e-commerce order fulfillment, manufacturing, inspection, and …
Ok-robot: What really matters in integrating open-knowledge models for robotics
P Liu, Y Orru, J Vakil, C Paxton, NMM Shafiullah… - ar** and cross-domain image matching
This article presents a robotic pick-and-place system that is capable of gras** and
recognizing both known and novel objects in cluttered environments. The key new feature of …
recognizing both known and novel objects in cluttered environments. The key new feature of …