Keynote Speakers

Xin Wang

University of Calgary (Alberta, Canada)

Keynote title: Generative AI for Vision-Language Navigation and Spatial Guidance

Abstract

This talk focuses on the transformative impact of generative AI on Vision-Language Navigation (VLN) and related spatial guidance tasks. It will trace the evolution of VLN from early sequence-based agents to recent models powered by large language models (LLMs) that demonstrate strong generalization, planning, and interaction capabilities. The talk also highlights practical extensions of these advances to indoor tour guidance systems, where LLMs simulate human-like navigation, planning, and question answering. Together, these developments point to a new generation of intelligent agents capable of understanding and communicating spatial knowledge in real-world environments.

Short Bio

Dr. Xin Wang is a Professor and the leader of the Schulich School of Engineering Intelligent Geospatial Data Mining Lab in Department of Geomatics at University of Calgary. As an expert in spatio-temporal data mining, geospatial AI, location and routing recommendation systems, Dr. Wang has proposed and developed geospatial data mining methods and systems to solve problems in transportation, healthcare, environment, and energy by extracting insightful knowledge from big spatiotemporal data to provide informative guidance to engineering practices. She is the Co-Director of Esri Canada GIS Centres of Excellence in University of Calgary and served as an executive member and Treasurer of Canadian AI association for six years to form collaborative relationships between Canadian industry with academic researchers which makes Canadian geomatics companies and government agencies to access cutting edge geospatial AI research.

Page updated

Report abuse