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It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
[ICRA 2025 & IJRR 2026] Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM (in Real Time)
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
[ACM MM 2024] WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
AprilTag Detection and Pose Estimation Library for C, C++ and Python
Object picking and stowing with a 6-DOF KUKA Robot using ROS
Package to calibrate a simulated camera from Gazebo
A collection of scripts from my totorials
This repository contains best profile readme's for your reference.
Python implementations of University of Pennsylvania Robotics Specialization, and more.
Robot arm control based on ros-control framework
A detailed repository with step-by-step instructions on implementing an autonomous drone
In this post, I'm running MAVROS in the TX2 connected to the Pixhawk 4 with PX4 and QGroundControl
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
A curated list of deep learning resources for computer vision
✅ Curated list of resources for developers
A list of open source programs.
Simplified robot description of the ANYmal B quadrupedal robot.