Product Details
The myAGV Compound Robot Intelligent Logistics Kit is a comprehensive training lab solution developed by Elephant Robotics specifically for vocational colleges and event training. It integrates key components such as robots, control systems, vision systems, and conveyor systems, utilizing a modular design for flexible configurations. This enables seamless execution of logistics automation tasks, including item detection, loading/unloading, mobile handling, and classified transportation. Additionally, it supports educational projects such as simulation, robot system calibration, visual recognition, path planning, communication control, and ROS operating system training. The kit is complemented by a specialized curriculum system, designed to help learners quickly master intelligent robot system skills, enhancing both practical and innovative capabilities in an efficient manner.
Support for ROS Development
Developed based on the ROS framework, offering a full open-source code solution with RVIZ visualization modeling support. The system enables users to autonomously build simulation environments, flexibly configure operational paths, and fully implement core functional modules including SLAM mapping, autonomous navigation, dynamic obstacle avoidance, and global path planning.
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Localization and Navigation
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Path Planning
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Autonomous Obstacle Avoidance
2D SLAM
3D SLAM
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RVIZ Virtual Simulation
Automated Smart Logistics Sandbox System
Adopting a modular design, this system allows for the rapid construction of a sorting and transportation training platform in just 10 minutes. Specifically developed for university laboratories, it is optimized for small spaces and integrates core functional modules such as SLAM mapping, autonomous navigation and obstacle avoidance, AI vision-based sorting, and infrared automatic recharging.
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standardized educational course support
The kit integrates ROS development, sensor technology, and real-world industry scenarios to build a comprehensive, practical knowledge system, offering a college-level intelligent logistics training course. The supporting resources include: ① Lecture Slides; ② Lecture Notes; ③ Practical Guides; ④ Instructional Videos. Support open-source debugging and visual teaching. Through 10 experimental cases combining simulation and reality (covering SLAM mapping, path planning, etc.), cultivate the capabilities of system design and engineering implementation.
One-click start, and the visual
teaching scene can be deployed instantly.
The kit includes an intelligent logistics task management system software, featuring an intuitive visual UI design and supporting one-click start functionality for seamless operation. It integrates a visual camera perspective to monitor the logistics process in real time. The visual function area includes OCR text detection, ARUCO code detection and QR code detection to ensure efficient information recognition and processing. The motion control function area supports PS2 joystick and keyboard control, providing flexible operation methods.
