Multiple thinking achieving meta-ability decoupling for object navigation
We propose a meta-ability decoupling (MAD) paradigm, which brings together various
object navigation methods in an architecture system, allowing them to mutually enhance …
object navigation methods in an architecture system, allowing them to mutually enhance …
Voronav: Voronoi-based zero-shot object navigation with large language model
In the realm of household robotics, the Zero-Shot Object Navigation (ZSON) task empowers
agents to adeptly traverse unfamiliar environments and locate objects from novel categories …
agents to adeptly traverse unfamiliar environments and locate objects from novel categories …
Environment Modeling for Service Robots From a Task Execution Perspective
Service robots are increasingly entering the home to provide domestic tasks for residents.
However, when working in an open, dynamic, and unstructured home environment, service …
However, when working in an open, dynamic, and unstructured home environment, service …
RP-SG: Relation Prediction in 3D Scene Graphs for Unobserved Objects Localization
Z Ying, X Yuan, B Yang, Y Song, Q Xu… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The ability to search for objects is a fundamental prerequisite for mobile robots when
addressing a wide range of automation tasks. However, how to effectively estimate the …
addressing a wide range of automation tasks. However, how to effectively estimate the …
Zero-shot object navigation with vision-language models reasoning
Object navigation is crucial for robots, but traditional methods require substantial training
data and cannot be generalized to unknown environments. Zero-shot object navigation …
data and cannot be generalized to unknown environments. Zero-shot object navigation …
Unsupervised active visual search with monte carlo planning under uncertain detections
We propose a solution for Active Visual Search of objects in an environment, whose 2D floor
map is the only known information. Our solution has three key features that make it more …
map is the only known information. Our solution has three key features that make it more …
Commonsense-Aware Object Value Graph for Object Goal Navigation
Object goal navigation (ObjectNav) is the task of finding a target object in an unseen
environment. It is one of the fundamental challenges in visual navigation as it requires both …
environment. It is one of the fundamental challenges in visual navigation as it requires both …
Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP
L Jiang, W Lu - Frontiers in Neurorobotics, 2023 - frontiersin.org
Introduction This paper presents an innovative Intelligent Robot Sports Competition Tactical
Analysis Model that leverages multimodal perception to tackle the pressing challenge of …
Analysis Model that leverages multimodal perception to tackle the pressing challenge of …
Camon: Cooperative agents for multi-object navigation with llm-based conversations
Visual navigation tasks are critical for household service robots. As these tasks become
increasingly complex, effective communication and collaboration among multiple robots …
increasingly complex, effective communication and collaboration among multiple robots …
Commonsense Scene Graph-based Target Localization for Object Search
Object search is a fundamental skill for household robots, yet the core problem lies in the
robot's ability to locate the target object accurately. The dynamic nature of household …
robot's ability to locate the target object accurately. The dynamic nature of household …