TIER IV and CMU Collaborate on Level 4+ Autonomous Driving
TIER IV and Carnegie Mellon University have announced a strategic collaboration to pioneer Level 4+ autonomy in autonomous driving systems. In a press release, the partnership aims to advance scalability, explainability, and safety through a hybrid architecture that integrates data-centric AI approaches with robotics best practices.
The collaboration is part of Safety21, a U.S. Department of Transportation initiative led by CMU, where TIER IV has joined the Advisory Council. The project will focus on developing next-generation Autoware-based systems, with early deployments planned in Tokyo and Pittsburgh. This initiative will span three years, with the first year dedicated to creating a reference vehicle for real-world data collection and experimentation.
In subsequent years, the focus will shift to developing a comprehensive safety enforcement mechanism to support vehicle certification and public road approval. This mechanism will underpin the scalability, explainability, and safety necessary for the trustworthy deployment of Autoware-based systems. The collaboration marks a significant step in uniting AI and robotics to enhance autonomous driving technologies.
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
Sep 19 Chery Plans AI and Green Technology Showcase for October Summit Sep 17 SIMSY Adds Atombeam Neurpac for LiDAR Data Transfer Sep 17 Geekplus Opens European Warehouse Robotics Lab in Düsseldorf Sep 17 Viabot Raises $24 Million for Outdoor Property Care Robots Sep 17 XPENG Launches G9L AI SUV in China Ahead of Paris DebutRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
Hyundai Activates Autonomous Driving Data Flywheel
IDrive Launches Licenseable L2+ Driver Assistance Platform
Caterpillar Expands AI Use From Mining Automation to Field Service
HL Klemove and Lenovo Partner on AI Computers for Autonomous Vehicles
Pony AI Unveils Level 4 Electric Truck With GAC
Daily AI Brief: the AI news that matters, in your inbox.