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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.
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Maintain an environmental exploration map & Update by Bayesian probability **For Autonomous Vehicle**
rrt/bfs/path_transform exploration algo for autonomous vehicle.
Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential …