3 papers
cs.CV2026
Pretrained Features as Teachers, Not States: Compact Latent World Models for Visual Planning
Yanbo Wang, Nan Lin, Wendelin Böhmer +1
A key design choice in visual world models is what information the latent state is encouraged to preserve. Models that learn a latent space with only a latent-prediction objective…
cs.RO2025
Scene-Agnostic Traversability Labeling and Estimation via a Multimodal Self-supervised Framework
Zipeng Fang, Yanbo Wang, Lei Zhao +1
Traversability estimation is critical for enabling robots to navigate across diverse terrains and environments. While recent self-supervised learning methods achieve promising resu…
cs.RO2025
Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation
Yanbo Wang, Zipeng Fang, Lei Zhao +1
Service robots are increasingly deployed in diverse and dynamic environments, where both physical layouts and social contexts change over time and across locations. In these unstru…