A full-day forum connecting robotics, machine learning, computer vision, and autonomous systems to advance safe, generalizable, and embodied driving intelligence.
DriveX examines how foundation models can move beyond isolated perception tasks toward autonomous systems that reason about the physical world and act safely within it.
Autonomous driving is a large-scale embodied-robotics problem. Intelligent agents must perceive, predict, reason, and act in uncertain 3D environments under stringent safety and real-time constraints. Foundation models are shifting the field toward systems that connect vision, language, geometry, time, and action.
DriveX@ICRA 2027 brings together researchers and practitioners across robotics, machine learning, computer vision, and autonomous systems. The workshop will explore multimodal and Vision-Language-Action models, generative world models, 3D spatial intelligence, cooperative autonomy, agentic systems, and efficient deployment on real robotic platforms.
The program combines invited talks, contributed papers, posters, demonstrations, moderated panels, interactive discussion, and a closing synthesis of shared evaluation priorities and open research problems.
We welcome research spanning algorithms, systems, datasets, evaluation, and real-world deployment at the intersection of foundation models and autonomous robotics.
The final speaker order, room assignment, and detailed session titles will be announced after the ICRA workshop date is confirmed.
| Time | Program |
|---|---|
| 08:30–08:45 | Welcome and goals |
| 08:45–10:00 | Invited talks I |
| 10:00–10:30 | Coffee and posters |
| 10:30–12:00 | Invited talks II |
| 12:00–12:30 | Panel I |
| 12:30–13:30 | Lunch |
| 13:30–15:30 | Invited talks III |
| 15:30–16:00 | Coffee, posters, and demonstrations |
| 16:00–16:30 | Invited talks IV |
| 16:30–17:00 | Panel II |
| 17:00–17:40 | Four contributed-paper oral presentations |
| 17:40–17:50 | Challenge highlights and Best Paper awards |
| 17:50–18:00 | Synthesis and closing |
Schedule is tentative and subject to the final ICRA program.
The invited program brings together leaders in foundation models, robotics, computer vision, autonomous driving, simulation, and safe real-world deployment.
Andreas Geiger
University of Tübingen
Jamie Shotton
Wayve
Cordelia Schmid
INRIA
Angela Schoellig
Technical University of Munich
Manmohan Chandraker
UC San Diego
Sergey Levine
UC Berkeley
Wolfram Burgard
University of Technology Nuremberg
Jeannette Bohg
Stanford University
Marco Pavone
Stanford University and NVIDIA
Wei Zhan
Applied Intuition
Dragomir Anguelov
Waymo
José M. Álvarez
NVIDIA
Ashok Elluswamy
Tesla
Chelsea Finn
Stanford University
Phil Michel
Motional
Federico Tombari
Share new results, work in progress, position papers, negative results, or recently published work without restricting later archival publication.
We invite high-quality contributions aligned with the workshop topics.
Awards will recognize clarity, scientific contribution, reproducibility, safety insight, and real-world relevance.
Hands-on benchmark tracks will connect foundation-model research to measurable progress in cooperative perception, reasoning, world modeling, and closed-loop driving. Track details, participation instructions, and timelines will be announced later.
The team spans foundation models, robotics, autonomous driving, computer vision, cooperative perception, benchmarks, safety, and production deployment.
Walter Zimmer
UCLA and TUM
General Chair and Primary Contact
Rui Song
UCLA and Cambridge
Technical Program and Panels
Zhiyu Huang
NC State University
Technical Program and Panels
Ross Greer
UC Merced
Technical Program and Panels
Zewei Zhou
UCLA
Tianhui Cai
UCLA
Haohan Yang
UCLA
Yun Zhang
UCLA
Seth Z. Zhao
UCLA Computer Science
Max Ronecker
NVIDIA
Katie Luo
Waymo
Flavian Pegado
Wayve
Zhe Fu
Stanford University
Larissa Triess
Chuheng Wei
Purdue University
Xiangyu Chen
NVIDIA
Boyi Li
NVIDIA
Haibao Yu
Carnegie Mellon University
Lena Wild
TRATON
Xingcheng Zhou
Technical University of Munich
Stephany Berrio Perez
University of Sydney
Nils Purschke
Technical University of Munich
Jiajie Zhang
Technical University of Munich
Jack Langerman
Zoox
Lars Ullrich
NEURA Robotics
Rajasekhar Josyula
Tesla
Tony (Xuewei) Qi
Motional
Olaf Wysocki
University of Cambridge
Daniel Watzenig
TU Graz
Holger Caesar
TU Delft
Benchmarks and TC Coordination
Bolei Zhou
UCLA
Mohan Trivedi
UC San Diego
Alois Knoll
Technical University of Munich
Jiaqi Ma
UCLA
Benchmarks and TC Coordination