Cola 配膳ロボット by Chao Dong is a highly esteemed winner of the very prestigious 2021 A' Design Award 銀賞 in ロボティクス・オートマトン・オートメーションデザイン Competition Category.

銀ロボティクス· 2021

Cola 配膳ロボット

by Chao Dong

Client: Changzhou Bayes Intelligent Technology Co., Ltd

A' Design Award 銀賞 Winner in ロボティクス Category

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Verified Award Winner
Verify Award Status for #110549

View at A' Design Award Press Release Award Badge

Colors

The Design

About Cola 配膳ロボット

Colaは、ホテルやレストランなどの屋内空間向けに設計された配膳ロボットです。フォルムはチェスのルーク(城)の駒から着想を得ており、滑らかな円筒形のボディと4層構造のトレイにより、一度の走行で4つのテーブルへ配膳できます。各種センサーが自律的な自己位置推定、ナビゲーション、衝突回避を支えます。音声インタラクションと画像認識機能を備え、2メートル離れた位置からお客様をお迎えすることが可能です。ボディは高強度ABS樹脂を一体成形する工法で製造されています。Colaは、サービス効率の向上と運営コストの削減を目指しています。

The Recognition

About the A' Design Award 銀賞

Cola 配膳ロボットは、見事で印象的なハイエンドのデザインに授与される、非常に権威ある評価である A' Design Award 銀賞の受賞作品です。銀賞の受賞作品は、きわめて輝かしく創造性に富んだ作品であり、デザイナーの傑出した専門知識、才能、洞察力を示しています。Cola 配膳ロボットは、素晴らしい代表作であり、驚くほどプロフェッショナルで、深く革新的であることが期待されます。この A' Design Award 銀賞を受賞したデザインは、非常に注目すべき称賛される発明であり、芸術・科学・デザイン・技術の境界に寄与し、それを前進させます。Cola 配膳ロボットは、多くの人に羨まれる創造物であり、欲求を呼び覚まし、前向きな感情をもたらし、驚きと感嘆を灯します。

Behind the Design

Press Kit

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

Unique Properties: Cola is an unmanned delivery robot used in hotels, restaurants, 4S stores and other indoor scenes. Equipped with such modules as self-developed sports chassis, voice interaction and visual recognition, Cola has the functions of automatic delivery, guests greeting and attracting, voice interaction, fully autonomous positioning and navigation, and independent collision avoidance. It is designed to help businesses enhance service efficiency, reduce operating costs and improve the image of the site.
Tags: Food delivery robot, Intelligent robot, Rook, Humanoid Shape, Ergonomic Design
Production Technology: Cola adopts imported high-strength ABS integrated compound molding process for its whole body, featuring high and low-temperature resistance, good strength and toughness, and wide adaptability in usage scenarios. The detachable mechanical structure design can reduce the number of connectors and parts, making the product easy to assemble and reducing the production cost.
Design Challenge: Abandoning the humanoid shape, a cuter waiter concept is designed. The common black-and-white uniform color matching and simple integrated design, with waisted modeling on both sides, present a more beautiful and scientific overall structure. The product is designed with a 35 degrees interactive screen that is in line with ergonomic design, and its infrared plate detection and touch sensing functions also reduce the difficulty of operation.
Research: The biggest social benefit lies in its effective solution to the pain point of employment difficulty in today's social service industry. Compared with the service staff of traditional restaurants, KTVs and hotels, Cola intelligent delivery robot has the advantages of lower monthly rent and maintenance costs, longer working hours, lower error rate and higher work efficiency.
Inspiration: Cola intelligent delivery robot is in a shape inspired by the Rook, which retains the elements of smooth cylindrical shape and tray and is equipped with a series of sensors, enabling avoidance of obstacles at any angle, contactless delivery and intelligent voice interaction, etc.
Project Duration: Duration and location of the project: the project was launched in April 2020 in Changzhou, China, ended in September 2020, and will be exhibited at the 4th China Catering Procurement Exhibition in October 2020.
Operation Flow: In the food delivery mode, the four-layer tray structure allows delivery to four tables at a time, enabling multi-point delivery and multi-tasks in parallel.
In the greeting mode, Cola can automatically sense guests 2m away and play the set welcome content by voice and screen. Its voice triggering and interactive function supports multiple rounds of Q&As.
In the cruise mode, it can automatically patrol at a fixed route and intermittently play the set voice content.
Team Members: Chao Dong
Xiaoxu Wang
Zhiyang Wang