sjYoondeltar
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Common used path planning algorithms with animations.
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
Robot path planning, mapping and exploration algorithms
Pytorch implementation of Augmented Neural ODEs 🌻
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Easy Hypernetworks in Pytorch and Jax
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Training framework for conditional imitation learning
(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts
Repository to store different driving benchmarks that run on the CARLA simulator
"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
An GPU/CUDA implementation of the Hungarian algorithm
Basic Kalman filter implementation in C++ using Eigen
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
[Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zhangyang Wang
Using pre-trained Diffusion models as priors for inference tasks
Official code and checkpoint release for "GNM: A General Navigation Model to Drive Any Robot".
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
This is an official repository of CLGo: Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints