Matthew Walter is an assistant professor and director of the Robot Intelligence through Perception Laboratory (RIPL) at the Toyota Technological Institute at Chicago (TTI-Chicago), a philanthropically endowed academic computer science institute located on the University of Chicago campus. He also holds a part-time faculty appointment in the Department of Computer Science at the University of Chicago. Prior to joining TTI-Chicago, Matthew was a research scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), where he was fortunate to work with Seth Teller. He received his PhD from the Joint Program between MIT and the Woods Hole Oceanographic Institution, under the supervision of John Leonard.
Monday, June 30
08:15 am - 08:30 am
Live in San Francisco
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Find out what highlights you can expect during the day, listen to the welcome speech of our event chair, learn how you can optimally use the features of our hybrid event environment, and let’s start Day 1!
Monday, June 30
07:15 pm - 07:30 pm
Live in San Francisco
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After an insightful & productive day full of presentations & discussions from the industry, our event chair concludes the first event day with a short summary of the most important insights from the sessions.
Tuesday, July 01
08:15 am - 08:30 am
Live in San Francisco
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Case Study
Tuesday, July 01
10:00 am - 10:30 am
Live in San Francisco
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As vehicles evolve from driver assistance toward full autonomy, the boundary between human and machine control becomes increasingly critical. In Level 2 and Level 3 autonomous systems, maintaining safe and intuitive transitions between manual and automated driving presents both a technical and human factors challenge. This presentation explores a high-quality agent framework designed to mediate shared autonomy—intelligently delegating control between human drivers and autonomous systems based on context, capability, and risk. Drawing from simulation studies and on-road testing, we illustrate how this collaborative approach enhances trust, safety, and user experience. The session will highlight decision arbitration techniques, real-time driver state monitoring, and adaptive control strategies that ensure seamless handovers and effective co-driving between human and machine.
In this session, you will learn more about:
Tuesday, July 01
05:00 pm - 05:15 pm
Live in San Francisco
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After another insightful & productive day full of presentations & discussions from the industry, our event chair concludes the event with a short summary of the most important insights from the sessions.