Academic Journal

Real-Life Experiment Metrics for Evaluating Human-Robot Collaborative Navigation Tasks

Bibliographic Details
Title: Real-Life Experiment Metrics for Evaluating Human-Robot Collaborative Navigation Tasks
Authors: Repiso Polo, Ely, Garrell Zulueta, Anais, Sanfeliu Cortés, Alberto
Contributors: Agencia Estatal de Investigación (España), Ministerio de Economía y Competitividad (España), Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72], Repiso Polo, Ely
Source: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE International Symposium on Robot and Human Interactive Communication
2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Publisher Information: IEEE, 2023.
Publication Year: 2023
Subject Terms: Human-Robot Collaborative Navigation, [SPI.AUTO] Engineering Sciences [physics]/Automatic, HRI, Interacció persona-robot, Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina, Collaborative task, Robot navigation, Evaluation Metrics, Human-robot interaction, Human-Robot Interaction
Description: As robots move from laboratories and industries to the real world, they must develop new abilities to collaborate with humans in various aspects, including human-robot collaborative navigation (HRCN) tasks. Then, it is required to develop general methodologies to evaluate these robots' behaviors. These methodologies should incorporate objective and subjective measurements. Objective measurements for evaluating a robot's behavior while navigating with others can be accomplished using social distances in conjunction with task characteristics, people-robot relationships, and physical space. Additionally, the objective evaluation of the task must consider human behavior, which is influenced by changes and the structure of their environment. Subjective evaluations of robot's behaviors can be conducted using surveys that address various aspects of robot usability. This includes people's perceptions of their interaction during their collaborative task with the robot, focusing on aspects such as sociability, comfort, and task-intelligence. Moreover, the communicative interaction between the agents (people and robots) involved in the collaborative task should also be evaluated. Therefore, this paper presents a comprehensive methodology for objectively and subjectively evaluating HRCN tasks.
This work has been supported by the Artificial Intelligence for HumanRobot Interaction (AI4HRI) project ANR-20-IADJ-0006. Also, this Work has been supported under the EU project grant CANOPIES (H2020- ICT-2020-2-101016906) and by the JST Moonshot R D Grant Number JPMJMS2011. Ely Repiso was also supported during her PhD by Spanish Ministry of Science and Innovation under a FPI-grant (BES-2014-067713) and during her Post Doc by the project AI4HRI
Trabajo presentado en el 32nd IEEE International Conference on Robot and Human Interactive Communication, celebrado en Busan (Corea del Sur), del 28 al 31 de agosto de 2023
Document Type: Article
Conference object
File Description: application/pdf
DOI: 10.1109/ro-man57019.2023.10309529
Access URL: http://hdl.handle.net/10261/351727
https://api.elsevier.com/content/abstract/scopus_id/85187025521
https://laas.hal.science/hal-04206085v1
https://laas.hal.science/hal-04206085v1/document
https://doi.org/10.1109/ro-man57019.2023.10309529
Rights: STM Policy #29
Accession Number: edsair.doi.dedup.....e8a5fd797251cb704347eacffe7a03a7
Database: OpenAIRE
Description
DOI:10.1109/ro-man57019.2023.10309529