On October 21, Professor Joseph Sifakis, Turing Award laureate and Chief Scientific Advisor of CaoCao Mobility’s AI Innovation Center, visited CaoCao Mobility’s AI Innovation Center and exchanged ideas with the technical team. On the same day, CaoCao Mobility officially launched a research project on trusted decision-making for Robotaxi stations and multi-agent collaboration, focusing on safety decision-making and system collaboration in passenger boarding and alighting scenarios, exploring the establishment of verifiable engineering methods through simulation tests and real-vehicle verification, with Professor Sifakis witnessing the launch on site. This progress also provides a new case for observing how China’s Robotaxi Market promotes the implementation of safety and trusted technologies.
Professor Sifakis is one of the pioneers in the field of model checking. He won the 2007 Turing Award for his contributions to the development of model checking theory and applications, and has long focused on the safety and reliability of complex intelligent systems and trusted autonomous systems. In June this year, he was invited to serve as Chief Scientific Advisor of CaoCao Mobility’s AI Innovation Center, providing academic support for the company’s AI transformation and autonomous driving technology development. During the 2026 World Artificial Intelligence Conference, he proposed that trusted Robotaxi should follow three principles: safety by construction, system collaboration, and operational assurance, emphasizing the establishment of a complete safety assurance approach from system design and collaboration mechanisms to operational processes.
The research project launched this time further implements the theoretical exploration of trusted autonomous systems into specific mobility scenarios. Passenger boarding and alighting involves vehicle stopping positions, passenger routes, vehicle stopping behavior, and collaboration among multiple systems, which are key links requiring verification in Robotaxi services. Different from simply evaluating vehicle driving capability, this project extends the research scope to station decision-making and service interaction processes, focusing on how vehicles, dispatching systems, and operational links collaborate to complete safe fulfillment.
The project will rely on CaoCao Mobility’s real operational data and experience accumulated over 11 years of mobility services, conducting research on applicable conditions for stopping positions, passenger boarding and alighting paths, vehicle stopping behavior, and system collaboration, and accumulating reusable scenario evidence through cross-verification of simulation tests and real-vehicle tests. The relevant results are expected to provide a basis for safety verification and operational adaptation of Robotaxi in different urban environments, and also supplement practical experience for China’s Robotaxi Market to explore sustainable scaled development pathways.
CaoCao Mobility CTO Qiang Qi stated that the realization of scaled and safe Robotaxi operations requires efficient collaboration among vehicles, dispatching, and operational support. Professor Sifakis’s research in trusted autonomous systems provides an important theoretical perspective for the company to analyze the safety and reliability of complex intelligent systems. The combination of international academic strength and practical operational experience will also provide support for the company’s technology R&D and globalization layout.
In terms of business system, CaoCao Mobility continues to advance the trinity development model of “intelligent purpose-built vehicles + intelligent driving technology + intelligent operations“, exploring the incorporation of vehicle R&D, driving technology, and operational management into a unified framework. As of now, the company has deployed over 200 second-generation Robotaxis. In terms of vehicle products, the natively developed purpose-built Robotaxi model Eva Cab was unveiled at Auto Beijing 2026 in April, adopting a no-front-passenger-seat, steering-wheel-free design; the CaoCao Mobility customized version is planned to enter mass production in 2027, and the company has proposed a plan to cumulatively deploy 100,000 Robotaxis by 2030. Meanwhile, the company improves operational support for vehicle energy replenishment, cleaning, and dispatching through the Green Intelligent Mobility Hub, and cooperates with the Abu Dhabi Investment Office, advancing project collaboration with K2 Group and May Mobility.
As Robotaxi applications gradually extend from road driving to complex links such as station services and operational dispatching, safety verification needs to cover a more complete operational chain. The research project launched by CaoCao Mobility combines trusted theory with real operational scenarios, attempting to form verifiable and reusable engineering methods. For China’s Robotaxi Market, this type of systematic research focusing on specific scenarios also provides a practical direction worthy of continuous observation for the safe operation and cross-regional expansion of autonomous driving services.
