A generative world for general-purpose robotics & embodied AI learning.

The first behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.

Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars

The biomechanical motion analysis and creation (BioMAC) simulation toolbox can be used to analyse human movement, with a focus on gait simulations

Code repository for emg2pose dataset and model benchmarks

Solving Optical MoCap Automatically

Motion and Shape Capture from Sparse Markers

Access 100+ robot descriptions from the main Python robotics frameworks

Access 100+ robot descriptions from the main Python robotics frameworks

Evaluation tools for time series machine learning algorithms.

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…

Rigid transform using Lie groups and Dual Quaternions, written in CasADi!

Bone and Tissue inference wrapper

Optimal control and parameter optimization for a maximal height ollie problem

Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoot…

Cocofest is an optimal control python package for functional electrical stimulation models

High-resolution models for human tasks.

Surface models of bones created from CT datasets of the open source VSDFullBody database.

Enable inputting a SMPL sequence into AddBiomechanics to fit an OpenSim skeleton model to the sequence.