MIWA 2026 – Bangkok | Program: Session 1
Session 1: AI Shaping the Future of Mobility Systems
AI is transforming how mobility systems are designed, managed, and experienced. This session focuses on the growing adoption of end-to-end AI approaches in automated driving and their implications for safety, system design, and real-world deployment. It also highlights emerging requirements for infrastructure, including V2X integration and data-driven environments.
Cooperative Intelligence for Autonomous Driving: From V2X to Human-Agent Interaction
Autonomous driving is evolving from single-vehicle perception toward cooperative, agentic intelligence. This talk presents TLab's open V2X stack (AutowareV2X), cooperative perception under uncertainty, and roadside-pole eHMI for silent pedestrian negotiation—showing how cars, infrastructure, and humans become shared agents on the road.
Manabu Tsukada
Associate Professor, Graduate School of Information Science and Technology
The University of Tokyo
Beyond the First City: What It Takes to Scale Autonomous Driving to New Places
Autonomous vehicles have moved beyond research demonstrations and are now operating in selected real-world services, from shared mobility and robotaxis to logistics. Yet these deployments remain bounded by validated routes, service areas, operating conditions, and use cases. This talk examines what it takes to scale autonomous driving beyond the first successful city. As driving systems increasingly rely on learned components, data coverage becomes a central challenge: new cities introduce different road users, rules, weather, and rare safety-critical cases. Current technical efforts address these gaps through real-world data curation, sensor-data augmentation, and scenario synthesis, while continuous testing, deployment feedback, infrastructure, and public-private collaboration remain essential for scalable autonomous mobility.
Patiphon Narksri
Engineer, Feature Development Division
TIER IV, Inc.
Operating Robotaxi as a True Business: What Does it Entail
The conversation around Robotaxis has shifted from "if" to "how." With leading companies successfully integrating safe and sustainable Robotaxi services into everyday life, the focus now turns to the commercial challenges of operating a Robotaxi business. This session will explore the essential pillars for building and sustaining a successful Robotaxi operation, addressing the strategies and considerations needed to turn autonomous rides into a viable, scalable business.
Ann Yu Shi
Vice President, Strategy and Business Development
Pony.ai
Accelerating L4 Autonomous Logistics: Commercial Deployment and Localized Ecosystems in Thailand and world
This presentation explores the strategic implementation of Level 4 autonomous driving technology within urban and industrial logistics frameworks. Drawing from recent commercial pilot deployments and regulatory collaborations, the session will outline the operational efficiency milestones of Autonomous vehicle fleets (Robovans) and the roadmap for integrating smart distribution networks into the regional supply chain ecosystem.
Yuchen Zhang
Regional Managing Director
Zelos Technology (Singapore) Pte. Ltd.
Moderator: Manabu Tsukada, The University of Tokyo
