Stars
Official implementation of "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Hospital simulator with pedestrians and robot
This Gazebo world is well suited for organizations who are building and testing robot applications in hospitals.
[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
ROS package for autonomous navigation of AGVs in unknown cluttered environments using MPPI and log-MPPI
This is a global planner plugin of ROS move_base package
Model-based design and verification for robotics.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A differentiable collision-free corridor generator.
Motion Planning around Obstacles with Convex Optimization by Marcucci et al, 2023
A lightweight differential flatness-based trajectory planner for car-like robots
Ewok: Real-Time Trajectory Replanning for MAVs using Uniform B-splines and 3D Circular Buffer
An optimization-based multi-sensor state estimator
A Robust and Versatile Monocular Visual-Inertial State Estimator
(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.
Performs decomposition of a polygon into a set of polygons each with bounded concavity
A ROS wrapper for implementing convex decomposition
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
This package contains ROS nodes that are able to generate a labelled pointcloud and create a semantic octomap representation.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.