Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
This study develops a comprehensive robotic system, termed the robot cognitive system, for complex environments, integrating three models: the engagement model, the intention model, and the human-robot interaction (HRI) model. The system aims to enhance the naturalness and comfort of HRI by enabling robots to detect human behaviors, intentions, and emotions accurately. A novel dual-arm-hand mobile robot, Mobi, was designed to demonstrate the system's efficacy. The engagement model utilizes eye gaze, head pose, and action recognition to determine the suitable moment for interaction initiation, addressing potential eye contact anxiety. The intention model employs sentiment analysis and emotion classification to infer the interactor's intentions. The HRI model, integrated with Google Dialogflow, facilitates appropriate robot responses based on user feedback. The system's performance was validated in a retail environment scenario, demonstrating its potential to improve the user experience in HRIs.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11174507 | PMC |
| http://dx.doi.org/10.3390/s24113311 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multimodal perception-driven decision-making for human-robot interaction: a survey.
Front Robot AI
August 2025
Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, United States.
Multimodal perception is essential for enabling robots to understand and interact with complex environments and human users by integrating diverse sensory data, such as vision, language, and tactile information. This capability plays a crucial role in decision-making in dynamic, complex environments. This survey provides a comprehensive review of advancements in multimodal perception and its integration with decision-making in robotics from year 2004-2024.
View Article and Find Full Text PDFAgentic LLM-based robotic systems for real-world applications: a review on their agenticness and ethics.
Front Robot AI
August 2025
Information Technologies Institute, The Centre for Research and Technology Hellas, Thessaloniki, Greece.
Agentic AI refers to autonomous systems that can perceive their environment, make decisions, and take actions to achieve goals with minimal or no human intervention. Recent advances in Large Language Models (LLMs) have opened new pathways to imbue robots with such "agentic" behaviors by leveraging the LLMs' vast knowledge and reasoning capabilities for planning and control. This survey provides the first comprehensive exploration of LLM-based robotic systems integration into agentic behaviors that have been validated in real-world applications.
View Article and Find Full Text PDFUse of Socially Assistive Robots in Physiotherapy: Scoping Review.
JMIR Rehabil Assist Technol
September 2025
Department of Electrical and Computer Systems Engineering, Faculty of Engineering, Monash University, 18 Alliance Lane, Melbourne, 3800, Australia, 61 399055562.
Background: Socially assistive robots (SARs) are robotic technology platforms equipped with sensing (eg, through audio or visual) and acting (eg, speech and movement) capabilities to interact socially with users. SARs are increasingly adopted in physiotherapy to aid patients in their rehabilitation journey by providing feedback, motivation, and encouragement. However, while many studies have explored SAR implementation in physiotherapy, research involving clinical populations remains scarce, and the overall state of SAR deployment is unclear.
View Article and Find Full Text PDFRobot usability in the wild: bridging accessibility gaps for diverse user groups in complex forestry operations.
Univers Access Inf Soc
June 2025
Human-Centered AI Lab, Institute of Forest Engineering, Department of Ecosystem Management, Climate and Biodiversity, University of Natural Resources and Life Sciences Vienna, Vienna, Austria.
This study evaluated the usability and effectiveness of robotic platforms working together with foresters in the wild on forest inventory tasks using LiDAR scanning. Emphasis was on the Universal Access principle, ensuring that robotic solutions are not only effective but also environmentally responsible and accessible for diverse users. Three robotic platforms were tested: Boston Dynamics Spot, AgileX Scout, and Bunker Mini.
View Article and Find Full Text PDFEffects of attractions and social attributes on peoples' usage intention and media dependence towards chatbot: The mediating role of parasocial interaction and emotional support.
BMC Psychol
August 2025
City Culture and Communication College, Suzhou City University, Suzhou, Jiangsu, China.
Purpose: It is important to explore the relationship between humans and chatbots to improve human-robot interaction in the era of artificial intelligence. This study aims to explore the effects of attractions and social attributes of chatbots on users' media dependency and usage intention of chatbots, as well as the role of users' para-social interaction and emotional support gained from chatbots.
Methods: A total of 1,553 responses were collected based on a cross-sectional online survey.