Ehsan Hashemi, University of Alberta, Canada
Mohammad H. Mamduhi, University of Birmingham, United Kingdom
Cathy Wu, Massachusetts Institute of Technology, United States
Ensuring safe and reliable autonomous navigation, subject to limited situational awareness and high-dimensional uncertainties in multi-modal perception systems in dynamic environments, remains a principal challenge in intelligent transportation systems (ITS). Despite recent advances, current methods still struggle to provide transparent uncertainty estimation, verifiable safety guarantees, and trustworthy planning and coordination in dynamic, multi-agent settings under uncertainty in perception and sensor network models. Unlike the uncertainty in system dynamics and environment models that are often considered as independent exogenous effects, perception and sensor network uncertainties depend on the temporal conditions of both the system and the operation environment.
This workshop focuses on recent advances in trustworthy motion planning for autonomous navigation under uncertainties arising from onboard perception systems or from perception information provided by heterogeneous distributed sensor networks in ITS environments. The workshop presentations will cover major topics, ranging from uncertainty-aware perception-planning integration, decentralized stochastic control for cooperative and trustworthy reasoning among multiple agents with asymmetric information, and resilient distributed estimation for motion planning, to safety-critical planning using foundation models, real-time cooperative behavior verification, uncertainty-guided planning enabled by natural language communication, verifiable learning architectures, and robust risk-bounded optimization. Our speakers are a diverse group of prominent scientists in various areas of intelligent transportation systems.
Prof. Abhinav Valada, University of Freiburg, Germany
Prof. Andreas Malikopoulos, Cornell University, USA
Prof. Bassam Alrifaee, University of Bundeswehr, Germany
Prof. Cathy Wu, Massachusetts Institute of Technology, USA
Prof. Jonas Mårtensson, KTH Royal Institute of Technology, Sweden
Prof. Necmiye Ozay, University of Michigan, USA
Dr. Neel Bhatt, University of Texas at Austin, USA
Prof. Rahul Mangharam, University of Pennsylvania, USA