Stars
Full Autonomy Stack for Mecanum Wheel Platform
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
Curated list of project-based tutorials
Go language library for reading and writing Microsoft Excelβ’ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
general purpose extensions to golang's database/sql
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure straβ¦
This repository contains the packages responsible for performing global traversability mapping which can be very easily integrated with any SLAM system.
Tools for concurrent programming in Rust
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
π Application to use ReVanced on Android
kscalelabs / evla
Forked from openvla/openvlaEdgeVLA: An open-source edge vision-language-action model for robotics.
Robot Utility Models are trained on a diverse set of environments and objects, and then can be deployed in novel environments with novel objects without any further data or training.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A library for differentiable robotics on manifolds.
Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
A 3D-printable high-torque planetary actuator.
Awesome world models for manipulation
BOM, STL files and instructions for PAROL6 3D printed robot arm
Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
Full Scale Monocular Depth Prediction. Official Implementation of "FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving" https://arxiv.org/abs/2304.10719