GroundSLAM: A Robust Visual SLAM System for Warehouse Robots Using Ground Textures
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Updated
May 17, 2025 - C++
GroundSLAM: A Robust Visual SLAM System for Warehouse Robots Using Ground Textures
A swarm of autonomous robots that manage a warehouse's orders and boxes in a collaborative and efficient way. Simulated in Unity and Coppelia.
This project showcases modules like path planning, communication, resource management and more. Simulate efficient swarm behavior while handling module failures. Experience the power of collaboration in optimizing productivity and minimizing disruptions.
Warehouse robot using ros2 foxy
A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.
FRedBots is a ROS-based multi-robot warehouse automation system using Q-learning for real-time path planning, task scheduling, and collision avoidance. Presented at ICCCR 2025 (Hangzhou, China), the project demonstrates scalable reinforcement learning integration for autonomous mobile robots in simulated warehouse environments.
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