UTM System Pilot Launched at Expo 2025 Osaka
Intent Exchange, NEC, and NTT DATA have announced the pilot deployment of a Unmanned Aircraft System Traffic Management (UTM) system at Expo 2025 Osaka, Kansai, Japan. The system aims to provide unified monitoring of drone and advanced air mobility operations within and around the Expo site, announced in a press release.
The pilot operation, running from August 16 to October 13, 2025, will validate the system's usability from an operator's perspective and define functional requirements for future UTM implementations. The initiative is part of the Realization of Advanced Air Mobility Project (ReAMo Project), which is promoted by the New Energy and Industrial Technology Development Organization (NEDO).
Key features of the pilot deployment include geofence and geocage settings, real-time drone positioning via Remote ID, and the detection of geofence incursions and geocage deviations. These functions are designed to enhance the safety and efficiency of drone operations at the Expo site.
The findings from this pilot will contribute to the development of service requirements for UTM Service Providers (USPs) and inform discussions with Japan's Civil Aviation Bureau on the certified USP framework. This pilot corresponds to Step 2 functionality in Japan's policy on institutional development for UTM, focusing on monitoring drone positions and ensuring compliance with flight plans.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Reconova Shows Airport AI and Baggage Robot at PTE Asia 2026
K1000ULE Gains Award Ready Status on Army Autonomy Marketplace
TIER IV and Partners to Hold Autonomous Driving Event for Tokyo Students
V2X to Show AI Aircraft Readiness Platform at AUSA 2026
ITRI Shows AI Network and Drone Systems at ICT TechDay
Daily AI Brief: the AI news that matters, in your inbox.