Vision-and-language navigation (VLN) aims to guide autonomous agents through real-world
environments by integrating visual and linguistic cues. Despite notable advancements in …

Object-oriented embodied navigation aims to locate specific objects, defined by category or
depicted in images. Existing methods often struggle to generalize to open vocabulary goals …

In the last years, the research interest in visual navigation towards objects in indoor
environments has grown significantly. This growth can be attributed to the recent availability …

Landmark-based navigation (eg go to the wooden desk) and relative positional navigation
(eg move 5 meters forward) are distinct navigation challenges solved very differently in …

The academic field of learning instruction-guided visual navigation can be generally
categorized into high-level category-specific search and low-level language-guided …

Following human instructions to explore and search for a specified target in an unfamiliar
environment is a crucial skill for mobile service robots. Most of the previous works on object …

Navigating towards fully open language goals and exploring open scenes in a manner akin
to human exploration have always posed significant challenges. Recently, Vision Large …

Multimodal Large Language Models (MLLMs) have shown significant advancements,
providing a promising future for embodied agents. Existing benchmarks for evaluating …

Constructing compact and informative 3D scene representations is essential for effective
embodied exploration and reasoning, especially in complex environments over long …

Modern robots vary significantly in shape, size, and sensor configurations used to perceive
and interact with their environments. However, most navigation policies are embodiment …