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UT Austin
- www.kylemorgenstein.com
- @KyleMorgenstein
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Github repository for the paper First Order Model-Based RL through Decoupled Backpropagation.
A plug-and-play deploy framework for robots. Just deploy, just do.
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
This repository is used to learn humanoid-specific ML. LAFAN1 is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, while the visualization co…
PACE: A systematic approach for sim-to-real transfer of legged robots, identifying actuator and joint dynamics with standard joint encoders.
LeIsaac provides teleoperation functionality in IsaacLab using the SO101Leader (LeRobot), including data collection, data conversion, and subsequent policy training.
safety analysis for hard-to-specify failures
Self-hosted game stream host for Moonlight.
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Environments, assets, workflow for open-source mobile robotics, integrated with IsaacLab.
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Self-contained, minimalistic implementation of diffusion models with Pytorch.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Simulating Kinect Noise: adding noise to clean depth-maps rendered with a graphics engine.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
⚡ A Fast, Extensible Progress Bar for Python and CLI
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Converting Onshape assembly to robot definition (URDF, SDF, MuJoCo) through Onshape API
We let two agents approach each other, collide and generate contact impulses in the simulation engine Bullet (via pybullet).
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
RocketMeister is an extensive and sophisticated gym environment for developing and comparing reinforced learning algorithms.
A language where the code is written with folders