Robohub.org
 

Japan’s World Robot Summit posts challenges for teams


by
20 March 2017



share this:

Japan is holding a huge robot celebration in 2018 in Tokyo and 2020 in Aichi, Fukushima, hosted by the Ministry of Economy, Trade and industry (METI) and the New Energy Industrial Technology Development Organization (NEDO). This is a commercial robotics Expo and a series of robotics Challenges with the goal of bringing together experts from around the world to advance human focused robotics.

The World Robot Summit website was just launched on March 2, 2017. The results of tenders for standard robot platforms for the competitions are being announced soon and the first trials for competition teams should happen in summer 2017.

There are a total of 8 challenges that fall into 4 categories: Industrial Robotics, Service Robotics, Disaster Robotics and Junior.

Industrial: Assembly Challenge – quick and accurate assembly of model products containing technical components require in assembling industrial products and other goods.

Service: Partner Robot Challenge – setting tasks equivalent to housework and making robots that complete such tasks – utilizing a standard robot platform.

Service: Automation of Retail Work Challenge – making robots to complete tasks eg. shelf stocking and replenishment multiple types of products such as foods, interaction between customers and staffs and cleaning restrooms.

Disaster: Plant Disaster Prevention Challenge – inspecting or maintaining infrastructures based on set standards eg. opening/closing valves and exchanging consumable supplies and searching for disaster victims.

Disaster: Tunnel Disaster Response and Recovery Challenge – collecting information and providing emergency response in case of a tunnel disaster eg. saving lives and removing vehicles from tunnels.

Disaster: Standard Disaster Robotics Challenge – assessing standard performance levels eg. mobility, sensing, information collection, wireless communication, remote control on-site deployment and durability, etc. require in disaster prevention and response.

Junior (aged 19 or younger): School Robot Challenge – making robots to complete tasks that might be useful in a school environment – utilizing a standard robot platform.

Junior (aged 19 or younger): Home Robot Challenge – setting tasks equivalent to housework and making robots that complete such tasks.

The World Robot Summit, Challenge, Expo and Symposiums are looking for potential teams and major sponsors. 

For more information, you can email: Wrs@keieiken.co.jp



tags:


Silicon Valley Robotics is an industry association supporting innovation and commercialization of robotics technologies.
Silicon Valley Robotics is an industry association supporting innovation and commercialization of robotics technologies.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence