Robust Humanoid Locomotion Using Trajectory

Media Summary: In this work we present a general, two-stage reinforcement learning approach for going from a single demonstration Abstract: Linear Model Predictive Control (MPC) has been successfully used for generating feasible walking motions for ... Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ...

Robust Humanoid Locomotion Using Trajectory - Detailed Analysis & Overview

In this work we present a general, two-stage reinforcement learning approach for going from a single demonstration Abstract: Linear Model Predictive Control (MPC) has been successfully used for generating feasible walking motions for ... Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ... This work presents a comprehensive study on Isabelle Maroger, Olivier Stasse, Bruno Watier (IROS 2020) Abstract : In order to fluidly perform complex tasks in collaboration ... This video shows dynamic walking simulations supporting our newly accepted paper: Y. Zhao, B. Fernandez and L. Sentis.

Conference: IROS 2022 Paper link: arXiv preprint: ...

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Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Model-free RL for Robust Locomotion Using Trajectory Optimization for Exploration

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance

Real-World Humanoid Locomotion with Reinforcement Learning

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

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

Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Learning robust perceptive locomotion for quadrupedal robots in the wild

Control Guided RL for Humanoid Locomotion -- Zachary Olkin

Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion

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Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

The main idea of this work is to

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

The main idea of this work is to

Model-free RL for Robust Locomotion Using Trajectory Optimization for Exploration

Model-free RL for Robust Locomotion Using Trajectory Optimization for Exploration

In this work we present a general, two-stage reinforcement learning approach for going from a single demonstration

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Humanoid locomotion

Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance

Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance

Abstract: Linear Model Predictive Control (MPC) has been successfully used for generating feasible walking motions for ...

Real-World Humanoid Locomotion with Reinforcement Learning

Real-World Humanoid Locomotion with Reinforcement Learning

Humanoid

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ...

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

Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Isabelle Maroger, Olivier Stasse, Bruno Watier (IROS 2020) Abstract : In order to fluidly perform complex tasks in collaboration ...

Learning robust perceptive locomotion for quadrupedal robots in the wild

Learning robust perceptive locomotion for quadrupedal robots in the wild

We present a perceptive

Control Guided RL for Humanoid Locomotion -- Zachary Olkin

Control Guided RL for Humanoid Locomotion -- Zachary Olkin

... but we could potentially get away

Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion

Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion

This video shows dynamic walking simulations supporting our newly accepted paper: Y. Zhao, B. Fernandez and L. Sentis.

Robot Trajectory Adaptation to Optimise the Trade-off between Human Cognitive Ergonomics

Robot Trajectory Adaptation to Optimise the Trade-off between Human Cognitive Ergonomics

Conference: IROS 2022 | Paper link: https://doi.org/10.1109/IROS47612.2022.9981424 | arXiv preprint: ...