Autonomous Warehouse Delivery Robot

Autonomous Warehouse Delivery Robot

Tinklebot is an innovative autonomous delivery system designed for dynamic warehouse environments. Winner of 2nd place at Georgia Tech's IEEE x Amazon Robotics Hackathon, it uses advanced computer vision and real-time pathfinding to optimize package delivery while avoiding obstacles and other robots with precision and efficiency.

Tinklebot is an innovative autonomous delivery system designed for dynamic warehouse environments. Winner of 2nd place at Georgia Tech's IEEE x Amazon Robotics Hackathon, it uses advanced computer vision and real-time pathfinding to optimize package delivery while avoiding obstacles and other robots with precision and efficiency.

Category

May 15, 2024

Robotics & Automation

Robotics & Automation

Services

May 15, 2024

Hardware Design, Software Development, Computer Vision

Hardware Design, Software Development, Computer Vision

Client

May 15, 2024

Georgia Tech IEEE x Amazon Robotics Hackathon

Georgia Tech IEEE x Amazon Robotics Hackathon

Year

May 15, 2024

2025

2025

Tinklebot is a cutting-edge solution for warehouse automation, addressing the challenges of busy, ever-changing environments. Using overhead cameras and AprilTag fiducial markers, it tracks robots and destinations to calculate optimal paths via breadth-first search, avoiding obstacles with custom buffer zones. A sophisticated image processing pipeline filters background noise, applies Gaussian blur, and classifies free areas versus obstacles. Powered by a mecanum-drivebase with omnidirectional movement, Tinklebot’s hardware includes ESP32 modules for wireless communication via ESP-Now protocol. The Python-based backend, leveraging OpenCV and AprilTags, integrates with C-programmed ESP32s for seamless operation. Overcoming challenges like inconsistent lighting and server-robot communication, Tinklebot’s scalable prototype can evolve into a swarm of coordinated robots, enhancing warehouse efficiency and safety.

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