Quadruped Robot Training using Deep Reinforcement Learning

Controlling the Solo12 quadruped robot with deep reinforcement ...

Our method is based on deep reinforcement learning of joint impedance references. The resulting control policies follow a commanded velocity ...

Training a Spot Inspired Quadruped Robot Using Reinforcement ...

It's been a while since I've started exploring Reinforcement Learning and OpenAI Gym , inspired by the amazing Boston Dynamics Spot.

Deep reinforcement learning for real-world quadrupedal locomotion

The main feature of offline RL algorithms is that the robot does not need to interact with the environment during the training phase, so we can bypass the ...

Controlling the Solo12 Quadruped Robot with Deep Reinforcement ...

In this work, we present the first implementation of a robust end-to-end learning-based controller on the Solo12 quadruped.

Reinforcement Learning with Quadruped Robot Bittle and NVIDIA ...

My experiments with Isaac Gym, high performance physics simulation environment from Nvidia and an affordable yet agile DIY quadruped robot ...

Multi-Agent Reinforcement Learning for Single Quadruped Robot ...

This paper proposes a novel method to improve locomotion learning for a single quadruped robot using multi-agent deep reinforcement learning (MARL).

Robust quadruped jumping via deep reinforcement learning

In this paper, we consider a general task of jumping varying distances and heights for a quadrupedal robot in noisy environments, such as off of uneven terrain.

Sim-to-real: Quadruped Robot Control with Deep Reinforcement ...

Sim-to-real: Quadruped Robot Control with Deep Reinforcement Learning and Parallel Training. Abstract: In recent years, deep reinforcement learning methods ...

Human Motion Control of Quadrupedal Robots using Deep ...

We develop the motion retargeting module in a supervised learning fashion while training the imitation policy with deep reinforcement learning.

Quadruped Robot Locomotion Using DDPG Agent - MathWorks

This example shows how to train a quadruped robot to walk using a deep deterministic policy gradient (DDPG) agent.

Controlling the Solo12 Quadruped Robot with Deep Reinforcement ...

We present the first implementation of a robust end-to-end learning-based controller on the Solo12 quadruped. Our method is based on deep reinforcement ...

Robust High-Speed Running for Quadruped Robots via ... - YouTube

Deep reinforcement learning has emerged as a popular and powerful way to develop locomotion controllers for quadruped robots.

A Motion Planning and Control Method of Quadruped Robot Based ...

Two deep reinforcement learning algorithms are used for training and comparison. The desired gait locomotion control strategy is generated through training so ...

Dual-Layer Reinforcement Learning for Quadruped Robot ... - MDPI

... using four specially designed models for training ... learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning.

In-Flight Attitude Control of a Quadruped using Deep Reinforcement...

Keywords: Deep Reinforcement Learning, Legged Robotics. TL;DR: We use DRL to train and demonstrate an in-flight attitude control law for a ...

(PDF) Controlling a Quadruped Robot Using Deep Reinforcement ...

These algorithms allow the robot to refine its control strategy via iterative learning based on feedback and rewards. We employ deep neural networks to embody ...

Recovery Controller for a Quadrupedal Robot using Deep ...

Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning. 15K views · 2 years ago ...more ...

Research improves quadruped bounding with efficient learning ...

Following the pre-training, the team implemented deep reinforcement learning (DRL), a trendsetting learning-based approach in legged locomotion ...

Learning to walk using deep reinforcement learning and transfer ...

... learning. We demonstrate our methods on training simulated characters and robots to learn locomotion skills without using motion data, and on transferring ...

Learning to Walk in Minutes Using Massively Parallel Deep ...

lum that is well suited for training with thousands of simulated robots in parallel. We evaluate the approach by training the quadrupedal robot ANYmal to walk ...