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Guohui Tian

8 accepted papers

2026

WEMA-VINS: Visual-Inertial SLAM With ELSED-MIS Line Filtering

RA-L 2026

Unmanned aerial vehicles (UAVs) are widely used in various fields due to their flexibility and maneuverability. However, for UAV systems that rely solely on point features, weak-texture environments cause a decline in pose estimation accuracy, creating a severe localization challenge. The fusion of

Cited by 0SourceScholar
2025

A Personalized Comfort Space With Variable Shape Based on Environmental Information for Robot Navigation in Homes

RA-L 2025

When a robot navigates in home environments, its trajectories need not only to avoid collisions but also to meet the psychological comfort of family members. We propose a personalized comfort space with variable shape based on environmental information to enhance the comfort perception of different

Cited by 3SourceScholar
2025

From Demand to Grounded Plan: Task Customization and Planning for Service Robots With Deep Learning and LLMs

RA-L 2025

In the field of task planning for service robots, large language model (LLM)-based approaches have shown increasing potential but still struggle with responding to complex user demands and grounded task planning. In this letter, we propose a user-demand-oriented adaptive grounded task planning syste

Cited by 0SourceScholar
2024

A New Clustering-Based View Planning Method for Building Inspection With Drone

RA-L 2024

With the rapid development of drone technology, the application of drones equipped with visual sensors for building inspection and surveillance has attracted much attention. View planning aims to find a set of near-optimal viewpoints for vision-related tasks to achieve the vision coverage goal. This

Cited by 4SourceScholar
2024

Fine-Grained Task Planning for Service Robots Based on Object Ontology Knowledge via Large Language Models

RA-L 2024

In domestic environment, the successful execution of service tasks heavily relies on the robot's capability to identify and understand objects within its surrounding. This crucial process predominantly takes place during task planning, prior to the actual performance of service tasks. Therefore, it

Cited by 10SourceScholar
2024

Object Pose Estimation From RGB-D Images With Affordance-Instance Segmentation Constraint for Semantic Robot Manipulation

RA-L 2024

Object pose estimation is a crucial task for semantic robot manipulation involving the detection of suitable manipulation regions. Given the diversity of object shapes and scene complexities, object pose estimation remains an immense challenge. Accordingly, the letter presents a new approach for obj

Cited by 6SourceScholar
2024

Transformer-Based Relationship Inference Model for Household Object Organization by Integrating Graph Topology and Ontology

IROS 2024poster

In domestic environments, the conventional organization of objects by service robots often relies on the inherent properties of each object, such as placing fragile bowls in enclosed cupboards. However, this approach tends to overlook the importance of the orderly arrangement of objects, neglecting…

Cited by 0SourcecodeScholar