Src-2000 移动机器人控制器 by Fan Wu is a highly esteemed winner of the very prestigious 2024 A' Design Award 铜奖 in 产品工程与技术设计 Competition Category.

铜工程· 2024

Src-2000 移动机器人控制器

by Fan Wu

Client: Shanghai Seer Intelligent Technology Corporation

A' Design Award 铜奖 Winner in 工程 Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Src-2000 移动机器人控制器

Src-2000作为移动机器人的中央控制器,具备高度并发的计算能力。这使其能够快速构建各类非标准智能机器人,并实现全面的控制集成。它还提供卓越的设备扩展性,便于与生产作业环节及智慧工厂基础设施相连接。该控制器与业务软件深度集成,助力用户搭建柔性化、智能化的物流系统。

The Recognition

About the A' Design Award 铜奖

Src-2000 移动机器人控制器是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Src-2000 移动机器人控制器将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Src-2000 移动机器人控制器出色地满足需求，触动渴望，迷住情感，并吸引好奇心。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: The SRC-2000 serves as the central controller for mobile robots and features a highly concurrent computing capability. This allows for the swift creation of various non-standard intelligent robots and enables comprehensive control integration. It also offers exceptional equipment expandability that facilitates connections with production operations and smart factory infrastructure. It is integrated with business software to empower users to construct a flexible and intelligent logistics system.
Dimensions & Packaging: 225.2x128x83.8MM
Tags: Controller, mobile robot, high computing power, core, high efficiency, AI
Production Technology: The SRC-2000 is impressively designed with an aluminum alloy metal housing and surface recesses that would enhance heat dissipation, structural strength, functionality, and resistance to magnetic interference. Moreover, the SRC-2000 is guarded with a special paint and measures to protect against moisture, humidity, and dust. This is expected to enhance its performance stability, making it suitable for harsh environments such as freezing workshops and areas exposed to temperature differences.
Design Challenge: In fact, the rapid customization of the overall intelligent mobile robot construction, with the robot core controller as the smallest unit, places highly demanding requests on the controller. The SRC-2000 addresses this by significantly increasing the system computing power and speed through the simultaneous operation of GPU and CPU. By capitalizing on the GPU for image algorithms and other concurrent computing tasks, the SRC-2000 achieves a higher efficiency of task handling.
Research: The SRC-2000 is equipped with AI deep learning capabilities, allowing it to automatically identify objects with broken or tangled surfaces, such as pallets in different colors, and perform adaptive pallet insertion and extraction. The SRC-2000 can simultaneously operate up to 5 sets of 2D laser units and 4 sets of 3D laser units. This confers the SRC-2000 more comprehensive and efficient environment sensing and execution capabilities.
Inspiration: In response to diverse industry demands, a controller that supports the rapid construction of a wide range of non-standard robots proves more cost-effective and time-efficient than designing an entire mobile robot system from nothing. This controller empowers users to swiftly respond to specific application requirements and customize solutions in exchange for smaller investment and shorter development cycle.
Project Duration: The project kicked off in June 2022 in Shanghai, wrapped up on January 2023 in Shanghai, and exhibited in March 2023 at the Shenzhen ITES.
Operation Flow: The SRC-2000 offers a full set of pre-developed functions and a robust component ecosystem. Once the core controller is installed, user can easily achieve integrated control of each component, complete the construction of intelligent mobile robots, and use them directly, which in turn drastically simplifies the manufacturing process. User can assign task orders to one or more robots through a remote control interface and monitor the work status and task progress from time to time.
Team Members: Wu Fan