NirajPudasaini
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Code to train a compliant whole-body controller for the Unitree B1 + Z1
Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to designing rewards and transitioning from simulation to reality.
Official implementation of "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A curated list of awesome Taichi applications, courses, demos and features.
NirajPudasaini / awesome-world-models-manipulation
Forked from jacob-zietek/awesome-world-models-manipulationAwesome world models for manipulation
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Updated Aug 2, 2024
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Contains the public resources of Hands on GenAI book
A list of academic papers that utilize the ManiSkill framework, categorized by year of publication.
A generative world for general-purpose robotics & embodied AI learning.
Code for LGX (Language Guided Exploration). We use LLMs to perform embodied robot navigation in a zero-shot manner.
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
Unified framework for robot learning built on NVIDIA Isaac Sim
A Paper List for Humanoid Robot Learning.
Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"
A community-maintained Python framework for creating mathematical animations.
This repository provides the sample code designed to interpret human demonstration videos and convert them into high-level tasks for robots.
An educational resource to help anyone learn deep reinforcement learning.
RL Extension Library for Robots, Based on IsaacLab.
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Paper collections of the continuous effort start from World Models.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Unitree robot sdk version 2. https://support.unitree.com/home/zh/developer
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated At…