Stars
Model-rocketry aerodynamics and trajectory simulation software
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
Elevation Mapping on GPU.
Unified framework for robot learning built on NVIDIA Isaac Sim
Isaac Gym Reinforcement Learning Environments
Efficient and parallel algorithms for point cloud registration [C++, Python]
A grid world environment for high-level earthworks planning in JAX for RL.
Semantic ELevation (SEL) map is a semantic Bayesian inferencing framework for real-time elevation mapping and terrain property estimation from RGB-D images.
Library with search algorithms for task and path planning for multi robot/agent systems
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Voronoi Based Hybrid A* for Tractor-Trailer Systems
[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy
[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving
Products wiki for DrTech DrEmpower robot actuators
Isaac Gym Environments for Legged Robots
unitree Go2 robot learns locomotion with N-P3O algorithm and HIM alike policy trained by isaacgym
An open source implementation of MIT Cheetah 3 controllers
3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
UKF based localization using IMU, DVL and depth sensor for underwater robot
[ICLR'23 Spotlight & ECCV'24 & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
You Only Look Once for Panopitic Driving Perception.（MIR2022）
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.
This is a multi-agent path planning(also known as Multi-Agent Path Finding, MAPF) algorithm package for ROS/ROS2.
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)