Quick Overview: Robots are nowadays increasingly required to deal The Justin robot as demonstrated by DLR the German aerospace agency at in Munich. Here the robot is This work was presented at IROS 2024. Link to paper: ...

Intelligent Grasping Using Reinforcement Learning - Detailed Overview & Context

Robots are nowadays increasingly required to deal The Justin robot as demonstrated by DLR the German aerospace agency at in Munich. Here the robot is This work was presented at IROS 2024. Link to paper: ... Venue: IEEE/RSJ International Conference on In this talk, we will see how to make a real-world industrial robot learn to perform a task by This is the accompanying video of our paper "Composing Dextrous

This video demonstrates our preliminary results on design of an The video shows the successful implementation of the model developed for Deep Reinforcement Learning for Dexterous Manipulation -- Grasp and Stack This research tackles the robotic manipulation problem, aiming to develop an online, adaptive This project consist of a game environment which implements a robotic arm. The arm had to

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Intelligent grasping learning with embedded performance specifications
Intelligent grasping using reinforcement learning at #Automatica23 on the Justin robot by DLR
A Reinforcement Learning Based Approach for Robotic Grasping Tasks
Evaluating a Movable Palm in Caging Inspired Grasping using a Reinforcement Learning-based Approach
Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach
Reinforcement Learning-based Grasping via One-Shot Affordance Localization
Making robots learn to perform real-world tasks through Reinforcement Learning - Asad Ali Shahid
Composing Dextrous Grasping and In-Hand Manipulation via Scoring w/ a Reinforcement Learning Critic
Autonomous Object Grasping Using Jaco Assistive Robot Arm
Intelligent Robot Grasping using Deep Reinforcement and Evolutionary Learning.
Living Object Grasping using Inverse Reinforcement Learning Focusing on the Adversarial Behavior
Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning
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