Robohub.org
 

‘World’s Most Dangerous Rivalry’ stoked by bowing Abe robot at CIROS


by
17 July 2015



share this:
Bowing_Abe_robot_China_Japan

The long-term rivalry between China and Japan, often characterised as the “World’s Most Dangerous Rivalry,” was exacerbated at the CIROS show held in Shanghai last week by a bowing Prime Minister Abe look-alike robot and an enterprising Chinese sales group.

The robot, dressed in a suit and bowing to visitors, according to the International Business Times, “came to be called ‘Apologizing Abe’, and photos and videos of the Abe look-alike robot have gone viral across social media in China. The ‘Apologizing Abe’ robot is being seen by many in China as a mocking reference to Abe’s refusal to issue a formal apology for Japan’s wartime atrocities during World War II, as the Japanese Prime Minister only expressed ‘deep remorse’ earlier this year.”

“It’s just a way to attract attention from visitors and with absolutely no political implication,” Wang Guofeng, sales agent for the reported manufacturer of the robot, Shanghai Jinghong Robot Co Ltd, told China’s Global Times. The company is selling the robot on its website for 39,000 yuan ($6,282), according to the report.

The CIROS show had over 100 exhibitors and a large crowd of business people, educators and consultants interested in finding out about how robots might help them in their shops, plants and factories. A report on the show, by people who attended, walked the floors, and talked with the exhibitors, will appear soon on The Robot Report.



tags: , ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.





Related posts :



Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.

AI can be a powerful tool for scientists. But it can also fuel research misconduct

  31 Mar 2025
While AI is allowing scientists to make technological breakthroughs, there’s also a darker side to the use of AI in science: scientific misconduct is on the rise.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence