From the 1 of 11 linked papers with an AI index.
11 papers
ReflectVLN: Training Vision-Language Navigation Agents with Reflective Reasoning
Jiahang Wang, Yirong Yang, Yanqing Zhu +4
The paper introduces ReflectVLN, a vision-language navigation framework that uses separate intention and execution agents to iteratively decompose tasks, reflect on progress, and g…
AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation
Kai Yang, Zedong Chu, Yingnan Guo +6
While Vision-Language-Action (VLA) models have been demonstrated possessing strong zero-shot generalization for robot control, their massive parameter sizes typically necessitate c…
Explore Like Humans: Autonomous Exploration with Online SG-Memo Construction for Embodied Agents
Xu Chen, Shichao Xie, Zhining Gu +7
Constructing structured spatial memory is essential for enabling long-horizon reasoning in complex embodied navigation tasks. Current memory construction predominantly relies on a…
MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation
Dekang Qi, Shuang Zeng, Xinyuan Chang +4
Visual Language Navigation (VLN) is one of the fundamental capabilities for embodied intelligence and a critical challenge that urgently needs to be addressed. However, existing me…
AstraNav-World: World Model for Foresight Control and Consistency
Jintao Chen, Junjun Hu, Haochen Bai +11
Embodied navigation in open, dynamic environments demands accurate foresight of how the world will evolve and how actions will unfold over time. We propose AstraNav-World, an end-t…
NavForesee: A Unified Vision-Language World Model for Hierarchical Planning and Dual-Horizon Navigation Prediction
Fei Liu, Shichao Xie, Minghua Luo +4
Embodied navigation for long-horizon tasks, guided by complex natural language instructions, remains a formidable challenge in artificial intelligence. Existing agents often strugg…