A differentiable physics engine for robotics

Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking

Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.

Adaptive importance sampling modification to MPPI

Rigorous function approximation using Taylor models in Julia

Code for the paper "Smart 'Predict, then Optimize'"

segment-anything wrapped for Julia

Julia package to compute 3D Dubins Paths

Reinforcement learning with approximate physics-based models and low-level feedback controllers

Julia public sandbox