Tactile Gym 2.0: Sim-to-Real Deep Reinforcement Learning for Comparing Low-Cost High-Resolution Robot Touch

Author:

Lin Yijiong1ORCID,Lloyd John1ORCID,Church Alex1ORCID,Lepora Nathan F.1ORCID

Affiliation:

1. Department of Engineering Mathematics and Bristol Robotics Laboratory, University of Bristol, Bristol, U.K.

Funder

China Scholarship Council

University of Bristol

EPSRC CASE

Google DeepMind

Leadership Award from the Leverhulme Trust

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference34 articles.

1. Stable baselines3;raffin,2019

2. Proximal policy optimization algorithms;schulman,2017

3. Goal-Driven Robotic Pushing Using Tactile and Proprioceptive Feedback

4. Pose-Based Tactile Servoing: Controlled Soft Touch Using Deep Learning

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