Lists (17)
Stars
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
CARLA Autonomous Driving Simulation with RRT-Based Path Planning and PID Control
ROS2 Port for traversability mapping for mobile rough terrain navigation.
Elevation Mapping on GPU.
📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Sampling based control for kino-dynamic contact aware motion planning.
Efficient local and global exploration on submap collections with changing past pose estimates.
Coverage planning in general polygons with holes.
Modular framework for online informative path planning.
Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning
C++ Implementation of MPPI-IPDDP (Model Predictive Path Integral - Interior Point Differential Dynamic Programming) and Testing with MPPI variants and Multiple Environments
BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
gezp / carla_ros
Forked from carla-simulator/ros-bridgeROS bridge for CARLA Simulator
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
Path planning for autonomous vehicles using constrained iLQR.
A ROS2-based framework for TurtleBot3 DRL autonomous navigation
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.