High-fidelity discrete event simulation for warehouse robotics
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Updated
Jul 2, 2026 - Rust
High-fidelity discrete event simulation for warehouse robotics
🤖 ROS2 Humble Autonomous Mobile Robot (AMR) & Active Vision System for automated warehouse inventory scanning, Nav2 path planning, and real-time QR rack auditing.
Stereo ORB-SLAM3 + aisle guidance for warehouse AMRs — ROS 2 Jazzy, Iridescence viz, dynamic corridor perception
Q-learning simulation for warehouse robot navigation, obstacle avoidance and pickup-to-drop-off path optimisation.
Top Warehouse Robotics Platform 🌟 Star if you like it! 🌟
Multi-robot warehouse task allocation and path planning with SMDP-DQN, MAPF, scope audits, and reproducible baselines.
Project Atlas — Autonomous Mobile Robots for Warehouse Logistics | ROS 2 Jazzy + Gazebo Harmonic
Active evidence assurance for warehouse robots: verify, repair, and gate perception before motion on AMD Radeon and ROCm.
Exploring how robotics is reshaping warehouse operations through intelligent automation and scalable technologies.
Research-grade Reinforcement Learning framework for single-agent and multi-agent warehouse navigation using Deep Q-Networks (DQN), PyTorch, replay buffer, target networks, logging, and full test suite. Built for PhD-level RL and autonomous systems research.
Multi-agent path finding for drone swarms and robot fleets: Conflict-Based Search with prioritising, bypassing and disjoint splitting, bounded-suboptimal ECBS, optimal formation assignment, and delay-robust execution. Measured on the standard MAPF benchmark.
LLM-powered warehouse robotics with ROS 2, Gazebo, and Nav2. Combines natural-language commands, A* route estimation, and greedy pickup-and-delivery scheduling.
Covariant — independent third-party profile of a public API surface, by API Evangelist. Covariant is an Emeryville, California warehouse-robotics AI company founded in 2017 (originally as Embodied Intelligence) by UC Berkeley professor Pieter Abbeel and his former students Peter Chen, Rocky Duan, and Tianhao Zhang.
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