4 papers
Large language model-based task planning for service robots: A review
Shaohan Bian, Ying Zhang, Guohui Tian +4
With the rapid advancement of large language models (LLMs) and robotics, service robots are increasingly becoming an integral part of daily life, offering a wide range of services…
Air-Ground Collaborative Robots for Fire and Rescue Missions: Towards Mapping and Navigation Perspective
Ying Zhang, Haibao Yan, Danni Zhu +6
Air-ground collaborative robots have shown great potential in the field of fire and rescue, which can quickly respond to rescue needs and improve the efficiency of task execution.…
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models
Ying Zhang, Maoliang Yin, Wenfu Bi +4
Service robots operating in unstructured environments must effectively recognize and segment unknown objects to enhance their functionality. Traditional supervised learningbased se…
Environment Modeling for Service Robots From a Task Execution Perspective
Ying Zhang, Guohui Tian, Cui-Hua Zhang +3
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 rob…