Mobility Intelligence Series · 01 IEEE ITSS · Nirma
Past Distinguished Lecture

Mobility Intelligence Series Evolving Frontiers in Vehicle Motion Control and Autonomy

Distinguished Lecture by Prof. Junmin Wang

  • DateTue, 11 Aug, 2026
  • Time6:30 PM – 7:30 PM IST
  • WhereOnline
Concluded This event took place on Tue, 11 Aug, 2026.
Prof. Junmin Wang
Prof. Junmin Wang Speaker

About the event

The Topic

Vehicle motion control has undergone a profound evolution over the past several decades. Early contributions established foundational principles for enhancing roadway safety and improving energy efficiency through advanced, robust, fault-tolerant, and energy-efficient vehicle motion control algorithms. With the rapid emergence of connected and automated vehicles, the field has expanded beyond traditional performance metrics to include human-centric objectives such as trust, acceptance, intent interpretation, and socially compatible behaviors in mixed-autonomy traffic. This talk provides a technical overview of such a trajectory in vehicle motion control, highlighting key advances from classical control methodologies to contemporary frameworks that integrate sensing, learning, prediction, and human behavioral models. Emphasis is placed on how motion control strategies are reshaped by heterogeneous autonomy, the need for ensuring human acceptance, and the pursuit of socially harmonious interactions among human and machine drivers. The talk concludes with some open challenges and opportunities for next-generation vehicle motion control systems that simultaneously address safety, energy efficiency, human trust, and collective road harmony.

Event details

Date
Tue, 11 Aug, 2026
Time
6:30 PM – 7:30 PM IST
Mode
Online
Entry
Free
Speaker
Prof. Junmin Wang
Opening slide of the lecture: Evolving Frontiers in Vehicle Motion Control and AutonomySlide on personalised driver steering modelling, with lane-change response chartsSlide on moving from ordinary manoeuvres to collision avoidanceSlide on human trust in adaptive cruise control

Speaker

Meet Prof. Junmin Wang

Prof. Junmin Wang

Fletcher Stuckey Pratt Chair Professor in Engineering, The University of Texas at Austin

IEEE FellowASME FellowSAE Fellow

Prof. Junmin Wang is the Fletcher Stuckey Pratt Chair Professor in Engineering at The University of Texas at Austin and Director of the Mobility Systems Lab. In 2008, he started his academic career at Ohio State University where he was early promoted to Associate Professor in September 2013 and very early promoted to Full Professor in June 2016. In 2018, he joined UT Austin as the Accenture Endowed Professor. He gained five years of full-time industrial experience at Southwest Research Institute from 2003 to 2008. Prof. Wang has a wide range of research interests covering control, modeling, estimation, optimization, diagnosis, and AI for dynamical systems, especially automotive, smart and sustainable mobility, robotics, human-centric automation, and cyber-physical system applications. Dr. Wang is the author or co-author of more than 420 peer-reviewed publications and 13 U.S. patents. He is a recipient of numerous international and national honors including the 2024 ASME Charles Stark Draper Innovative Practice Award, NSF-CAREER Award, and ONR Young Investigator Award.

420+

Publications

13

US Patents

20+

Years in research

Themes

Key Themes

Core research threads explored in this session.

01

Roadway Safety

Fault-tolerant control algorithms for crash prevention and occupant protection in mixed-traffic environments.

02

Energy Efficiency

Optimization strategies for reducing energy consumption across connected vehicle platoons and autonomous fleets.

03

Human Trust

Intent-aware control frameworks that foster acceptance and trust between human drivers and automated systems.

04

Road Harmony

Socially compatible behaviors enabling cooperative coexistence in heterogeneous autonomy traffic.

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