Taian to Free Open Parts of Mount Tai for Robot Training and Testing

　　China News Service Tai'an, November 10 (Reporter Liang Ben) Wang Lijun, Vice Mayor of the Tai'an Municipal People's Government, stated at a press conference held by the municipal government news office on November 10 that the city will scientifically and orderly, and for free, open parts of Mount Tai and related robot training grounds to provide real-scene training and testing conditions for domestic and international robot enterprises and research institutions, and coordinate the work of matching scene supply and demand, data and computing power support, and on-site service guarantees.

The picture shows the scene of the press conference. Photo by Chen Yang

　　According to the introduction, the first CMG World Robot Climbing Mount Tai Competition was held in Tai'an recently. During the competition, a series of activities such as the Embodied Intelligence Industry Development Cooperation Negotiation Meeting, Fund Empowerment Matching Meeting, Science and Technology Matching Exchange Meeting, and Industrial Ecology Exhibition were held concurrently, achieving multiple results in competition, industrial matching, technological exchange, and cultural tourism promotion.

　　The track was selected from the Hongmen to Zhongtianmen hiking trail of Mount Tai, creating a natural testing ground in a mountain environment. The competition set up 4 official competition projects and 1 pathfinding challenge, focusing on testing core performances such as robot motion control, environmental perception, and load-bearing endurance. A total of 89 teams participated, and the overall completion rate reached 86.5%.

　　According to Wang Lijun, on the basis of opening relevant venues for free and in an orderly manner, the city will also optimize supporting services for robot training and testing. Focusing on aspects such as Mount Tai forest fire prevention, cultural tourism services, business consumption, cultural and museum venues, and forest management, application scenarios will be released in batches to deeply explore potential cooperation opportunities.

　　At the same time, Tai'an City will build a municipal-level computing power scheduling platform, integrate local artificial intelligence data resources, and collect and share mountain real-scene datasets to reduce the data collection and trial-and-error costs for enterprises.

　　Ma Lianqi, Party Secretary and Director of the Tai'an City Big Data Bureau, stated that the bureau will use data to empower the R&D of embodied intelligence, focusing on strengthening data resource supply support, data collection scenario support, data processing and governance support, and data industry cultivation support, continuously enriching mountain scene datasets and optimizing supporting services.

　　Li Feng, a member of the Party and Workers' Committee of the Taishan Scenic Area and Deputy Director of the Management Committee, introduced that the scenic area will implement a mechanism of “first training and reaching standards at the foot of the mountain, then real-scene testing on the mountain.” For robot testing teams that have completed training and filing, a “two-free” policy will be implemented, providing free scenic area tickets for team members and waiving relevant test site usage guarantee fees, while simultaneously protecting the Taishan World Cultural and Natural Heritage and providing a standardized, convenient, and reliable real-scene testing environment.

　　“Our simulated training grounds and real-scene training grounds will be opened for free to robot enterprises, universities, and R&D teams worldwide, and we will promote the expansion and upgrading of new training grounds.” stated Wang Debao, Executive Director and Senior Vice President of Taiying Technology Group Co., Ltd. As the technical and training support unit for the first CMG World Robot Climbing Mount Tai Shan Competition, the company will establish hierarchical training standards, standardize training processes, and improve supporting service networks such as robot stations. (End)

【Editor: Zhang Lingqi]