Software

Open source

Visualization and data infrastructure for robotics multimodal time series.

Open source

dddmr_navigation is the 3D navigation solution for mobile robots includes mapping/localization/perception/path planning/controller/navigation stack

Open source

A Python reinforcement-learning wrapper for Webots.

Open source

The Official Deep Learning Framework for Robot Place Learning

Open source

Robot learning research using separate forward and inverse dynamics pretraining.

Open source

Self-supervised Deep LiDAR Odometry for Robotic Applications

Open source

Learning Dexterous Manipulation Skills from Imperfect Simulations

Open source

Path planning and control algorithms for a differential drive robot using ROS2

Open source

Libraries, tools and tasks for robotics research from Google DeepMind.

Open source

Docker and Docker Compose practices for ROS simulation and hardware workflows.

Open source

https://docs.nav2.org/

Open source

Software for Mark Rober's Domino Robot project.

Open source

URDF model of the Draco3 humanoid robot.

Open source

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

Open source

Deep reinforcement-learning experiments for robotic grasping from octrees.

Open source

Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning

Open source

End-to-End SLAM with camera calibration, monocular prior integration and dense Rendering

Open source

DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

Open source

Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

Open source

A ROS implementation of the Dynamic Window Approach planner.

Open source

A point-cloud registration pipeline for robot localization and 3D perception.

Open source

A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)

Open source

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Open source

Examples of efficient trajectory optimization for robot motion planning