Academic Journal
Real-Life Experiment Metrics for Evaluating Human-Robot Collaborative Navigation Tasks
| Τίτλος: | Real-Life Experiment Metrics for Evaluating Human-Robot Collaborative Navigation Tasks |
|---|---|
| Συγγραφείς: | Repiso Polo, Ely, Garrell Zulueta, Anais, Sanfeliu Cortés, Alberto |
| Συνεισφορές: | Agencia Estatal de Investigación (España), Ministerio de Economía y Competitividad (España), Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72], Repiso Polo, Ely |
| Πηγή: | 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) |
| Στοιχεία εκδότη: | IEEE, 2023. |
| Έτος έκδοσης: | 2023 |
| Θεματικοί όροι: | 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 |
| Περιγραφή: | 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 |
| Τύπος εγγράφου: | Article Conference object |
| Περιγραφή αρχείου: | application/pdf |
| DOI: | 10.1109/ro-man57019.2023.10309529 |
| Σύνδεσμος πρόσβασης: | 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 |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....e8a5fd797251cb704347eacffe7a03a7 |
| Βάση Δεδομένων: | OpenAIRE |
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