AgiBot sets Guinness World Record for Synchronized Dance of 110 Humanoid Robots
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AgiBot sets Guinness World Record for Synchronized Dance of 110 Humanoid Robots

AgiBot has set a Guinness World Record for the highest number of simultaneously dancing humanoid robots, demonstrating a synchronized routine featuring 110 full-sized Expedition A3 model robots. This event took place on October 24th at the Yellow River International Exhibition and Conference Center in Jinan city.

The Guinness judge confirmed the count of 110 units at the venue, according to reports from IT Home and Science and Technology Daily. Furthermore, according to Science and Technology Daily, the key criterion for setting the record was not the quality of the dance, but the fleet's ability to complete the performance without any errors.

The robots executed several sets of complex movements over a period of 5 minutes and 43 seconds, alternating between synchronized movement and formation changes. AgiBot specified that all 110 participating robots are standard production units.

Technical Aspects of Coordination

Wan Chuan, AgiBot partner and Senior Vice President, noted that controlling a hundred robots goes beyond simply copying movements; it requires a full planning stack that includes real-time positioning determination, distributed decision-making, and dynamic obstacle avoidance. The robots independently exited their transport crates, calibrated their positions, and performed the program without manual control by engineers via remote operation.

Coordination was managed using LinkBots—AgiBot's internal multi-robot planning system. Wan described three key capabilities of this system. Firstly, formation changes are calculated based on the current state of each robot, rather than being reproduced from pre-saved movements. Secondly, the ultra-wideband positioning system provides accuracy of less than 10 centimeters, allowing the robots to coordinate walking and running while tracking mutual positions. Thirdly, individual groups can receive different instructions, and the orchestration is designed to prevent robots from interfering with each other. IT Home reported that the system is capable of locally compensating for the failure of one unit.

According to Wan, the successful implementation of these three points represents a technical boundary separating humanoid robots used as display exhibits from those that can function as productive tools.

AgiBot reports that the robots are already beginning to be used in real-world applications. Currently, they are undergoing trials at Jinan subway stations, including the Olympic Sports Center and Zhuangshan West Road, where they provide directions, assist in managing crowd flow, conduct security patrols, and offer cultural accompaniment. The company plans to utilize the robots that participated in the record attempt in tourist performances, public services, exhibition halls, and education.

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Purple Mountain Laboratories and China Mobile Unveil Platform for Connecting AXP Agents
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Purple Mountain Laboratories and China Mobile Unveil Platform for Connecting AXP Agents

Purple Mountain Laboratories has launched the AXP platform, designed to facilitate communication between artificial intelligence (AI) agents, which operates based on deterministic networks. The presentation of this platform took place on October 16th at the Tenth Conference on Future Network Development in Nanjing. China Mobile, Jiangsu Future Network Group, and Jiangsu Future Networks Innovation Institute were involved in its development.

The developers position AXP as the industry's first agent connection platform built on deterministic network principles, although this claim has not yet been independently verified. A deterministic network implies the network's ability to guarantee bounded and predictable traffic delivery within a specific area, unlike the best-effort behavior of standard internet connections.

AXP applies this concept to a growing number of software agents that need to locate and invoke each other across various organizations and regions. According to an official announcement, the platform is capable of registering up to one million agents and simultaneously supporting 100,000 active agents.

The platform performs joint planning of computational and network resources, handles transformations between different protocols used by heterogeneous agents, detects failures, and switches within seconds. Furthermore, it enables semantic addressing, allowing an agent to be located by its functionality in approximately one hundred milliseconds.

Operating on CENI, China's national large-scale experimental site for future networks, the team reported that AXP successfully implemented high-precision agent addressing across different domains over distances exceeding 4,000 kilometers and reduced end-to-end task execution time by more than 20%, although the baseline for this comparison was not specified.

The presented materials did not specify which agent protocols AXP transforms. Information regarding support for widely used open standards such as Model Context Protocol (MCP) or Agent2Agent (A2A) was not disclosed, nor was an explanation provided for the acronym AXP.

Purple Mountain Laboratories stated that it has begun joint testing and industrial verification with telecommunications operators, communication equipment manufacturers, and a major steel enterprise across multiple scenarios. The date of commercial availability or pricing policy has not been announced.

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