Media Summary: Differentiable simulators promise to improve sample efficiency in robot This work presents a comprehensive study on NVIDIA researchers present a hierarchical framework that combines model-based

Learning Deployable Locomotion Control Via - Detailed Analysis & Overview

Differentiable simulators promise to improve sample efficiency in robot This work presents a comprehensive study on NVIDIA researchers present a hierarchical framework that combines model-based Paper: Whole-body optimizers have been successful at automatically computing complex ... Video presentation for the IEEE RA-L paper "RL + Model-based

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Learning Deployable Locomotion Control via Differentiable Simulation
RobotKeyframing: Learning Locomotion with High Level Objectives
Constrained Reinforcement Learning for Unstable Point-Feet Bipedal Locomotion
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Towards a Nonlinear Model Predictive Control for Quadrupedal Locomotion on Rough Terrain
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
Reinforcement Learning behind Humanoid Robot Explained
Learning Visual Locomotion with Cross-Modal Supervision
Learning a Centroidal Motion Planner for Legged Locomotion
RSS 2020, Spotlight Talk 64: Learning Agile Robotic Locomotion Skills by Imitating Animals
RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion
Learning robust perceptive locomotion for quadrupedal robots in the wild
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Learning Deployable Locomotion Control via Differentiable Simulation

Learning Deployable Locomotion Control via Differentiable Simulation

Differentiable simulators promise to improve sample efficiency in robot

RobotKeyframing: Learning Locomotion with High Level Objectives

RobotKeyframing: Learning Locomotion with High Level Objectives

This paper presents a novel

Constrained Reinforcement Learning for Unstable Point-Feet Bipedal Locomotion

Constrained Reinforcement Learning for Unstable Point-Feet Bipedal Locomotion

Constrained Reinforcement

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

This work presents a comprehensive study on

Towards a Nonlinear Model Predictive Control for Quadrupedal Locomotion on Rough Terrain

Towards a Nonlinear Model Predictive Control for Quadrupedal Locomotion on Rough Terrain

Towards a Nonlinear Model Predictive

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

NVIDIA researchers present a hierarchical framework that combines model-based

Reinforcement Learning behind Humanoid Robot Explained

Reinforcement Learning behind Humanoid Robot Explained

In this video we will be

Learning Visual Locomotion with Cross-Modal Supervision

Learning Visual Locomotion with Cross-Modal Supervision

In this work, we show how to

Learning a Centroidal Motion Planner for Legged Locomotion

Learning a Centroidal Motion Planner for Legged Locomotion

Paper: https://arxiv.org/abs/2011.02818 Whole-body optimizers have been successful at automatically computing complex ...

RSS 2020, Spotlight Talk 64: Learning Agile Robotic Locomotion Skills by Imitating Animals

RSS 2020, Spotlight Talk 64: Learning Agile Robotic Locomotion Skills by Imitating Animals

Learning

RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion

RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion

Video presentation for the IEEE RA-L paper "RL + Model-based

Learning robust perceptive locomotion for quadrupedal robots in the wild

Learning robust perceptive locomotion for quadrupedal robots in the wild

We present a perceptive

An efficient controller for whole-body dynamic locomotion

An efficient controller for whole-body dynamic locomotion

Scott Kuindersma, MIT An efficient