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20212023
most citedDexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks

17 citations · 19 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.RO2023

Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens +3

Hindsight Experience Replay (HER) is a technique used in reinforcement learning (RL) that has proven to be very efficient for training off-policy RL-based agents to solve goal-base…

cs.RO2023

Robust Learning-Based Incipient Slip Detection using the PapillArray Optical Tactile Sensor for Improved Robotic Gripping

Qiang Wang, Pablo Martinez Ulloa, Robert Burke +2

The ability to detect slip, particularly incipient slip, enables robotic systems to take corrective measures to prevent a grasped object from being dropped. Therefore, slip detecti…

cs.RO2023

Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies

Qiang Wang, Robert McCarthy, David Cordova Bulens +4

This paper presents our solution for the Real Robot Challenge (RRC) III, a competition featured in the NeurIPS 2022 Competition Track, aimed at addressing dexterous robotic manipul…

cs.RO2022

Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens +3

End-to-end reinforcement learning techniques are among the most successful methods for robotic manipulation tasks. However, the training time required to find a good policy capable…

cs.RO2022★ 17 cited

Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks

Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy +7

This paper describes a deep reinforcement learning (DRL) approach that won Phase 1 of the Real Robot Challenge (RRC) 2021, and then extends this method to a more difficult manipula…

cs.RO2021

Solving the Real Robot Challenge using Deep Reinforcement Learning

Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang +4

This paper details our winning submission to Phase 1 of the 2021 Real Robot Challenge; a challenge in which a three-fingered robot must carry a cube along specified goal trajectori…

cs.RO2021★ 2 cited

Real Robot Challenge: A Robotics Competition in the Cloud

Stefan Bauer, Felix Widmaier, Manuel Wüthrich +39

Dexterous manipulation remains an open problem in robotics. To coordinate efforts of the research community towards tackling this problem, we propose a shared benchmark. We designe…