[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
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Updated
Mar 19, 2024 - Python
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
Robotics Toolbox for Python
robotic motion planning library
n-dimensional RRT, RRT* (RRT-Star)
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
Drone Racing @ NeurIPS 2019, built on Microsoft AirSim
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
Motion planning and Navigation of AGV/AMR:python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP, DDPG, Bezier, Dubins etc.
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Motion Planner for Self Driving Cars
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)
Python implementations of several robotic motion planners
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Motion planning algorithm implementation
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
A Flexible Framework for Robot visualization and programming in Python
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