🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
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Updated
Jul 3, 2024 - Python
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Official Implementation of the Universal Humanoid Controller in Mujoco. Supports Kinpoly (NeurIPS 2021) and EmbodiedPose (NeurIPS 2022).
Official Implementation of the ICLR 2023 spotlight paper: Universal Humanoid Motion Representations for Physics-Based Control
Official implementation of NeurIPS 2021 paper: "Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation". This repo contains a copy of the code for "Universal Humanoid Controller" and "Kinematic Policy".
Official Implementation of the CVPR 2024 highlight paper: Real-Time Simulated Avatar from Head-Mounted Sensors
Humanoid robot wrestling competition
Raspberry pi based humanoid robot.
Meta QLearning experiments to optimize robot walking patterns
The New Dexterity Open-Bimanual-Manipulator project
Allows easy control of humanoid.urdf using human poses with pybullet
Repositório da EDROM-UFU destinado ao desenvolvimento do projeto humanoide para participação nas competições LARC e ROBOCUP.
Implementation of Omnidirectional Walk Using Zero Moment Point (ZMP) and Preview Control Method
An application to translate text to robot mouth movements including expressions and phonetics.
This is the the Motion Manager. This software is meant to contain several movement planners, a movement learner and a movement controller. The communication is managed by ROS and for this reason it is meant as a ROS package. Still work in progress ...
Human Head Pose Estimation and Imitation for SurenaV Humanoid Robot
Benchmarking Tool for Model Predictive Control based stable walking for humanoid robot
WANG REDA, A Humanoid Robot for society during initial days of post COVID-19 situation. This robot spreads awareness among human species to know about physical distancing, by monitoring the same and speech recognition based Q&A. Click the link to view the ppt :
A Human-like Upper-limb Posture Learner (HUPL). A Variable-kernel Similarity Metric enables the incremental learning of target arm configuration in imitation of the human learning-by-doing cycle.
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