5 papers · 1 filter
Boosting Zero-Shot VLN via Abstract Obstacle Map-Based Waypoint Prediction with TopoGraph-and-VisitInfo-Aware Prompting
Boqi Li, Siyuan Li, Weiyi Wang +3
With the rapid progress of foundation models and robotics, vision-language navigation (VLN) has emerged as a key task for embodied agents with broad practical applications. We addr…
End2Race: An End-to-End Learning Framework for Multi-Vehicle Autonomous Racing
Zhijie Qiao, Haowei Li, Zhong Cao +1
Autonomous racing serves as a compelling testbed for advancing autonomous vehicle systems. The 1/10-scale F1Tenth platform is widely adopted for education and research, with annual…
Imaginative World Modeling with Scene Graphs for Embodied Agent Navigation
Yue Hu, Junzhe Wu, Ruihan Xu +5
Semantic navigation requires an agent to navigate toward a specified target in an unseen environment. Employing an imaginative navigation strategy that predicts future scenes befor…
LightEMMA: A Longitudinal Evaluation of Vision-Language Models for Autonomous Driving
Zhijie Qiao, Haowei Li, Zhong Cao +1
Rapid advances in vision-language models (VLMs) have generated growing interest in their application to autonomous driving. A prevailing assumption is that successive VLM generatio…
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration
David Balaban, Harshavardhan Jagannathan, Henry Liu +1
Semantic mapping is the task of providing a robot with a map of its environment beyond the open, navigable space of traditional Simultaneous Localization and Mapping (SLAM) algorit…