Differentiable rendering without approximation.

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Nimble: Physics Engine for Deep Learning

Tiny Differentiable Simulator is a header-only C++ physics library with zero dependencies.

Code for: https://berkeleyautomation.github.io/bags/

implementation of our self-guided and self-regularized actor-critic algorithm

External rendering for PyBullet

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.

Course notes for AA203

Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

A python package to solve robot arm inverse kinematics in symbolic form

TensorFlow implementation of Deep Reinforcement Learning papers

Combines Blender's graphical interface and rendering capabilities with MBDyn's multi-body dynamics, aerodynamics, and aeroelastics simulation and analysis, for rapid modeling and realistic renderin…

Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.

Computation using data flow graphs for scalable machine learning

Blender Sensor Simulation