Tell Your Robot What To Do: Evaluation of Natural Language Models for Robot Command Processing
- The use of natural language to indicate robot tasks is a convenient way to command robots. As a result, several models and approaches capable of understanding robot commands have been developed, which however complicates the choice of a suitable model for a given scenario. In this work, we present a comparative analysis and benchmarking of four natural language understanding models - Mbot, Rasa, LU4R, and ECG. We particularly evaluate the performance of the models to understand domestic service robot commands by recognizing the actions and any complementary information in them in three use cases: the RoboCup@Home General Purpose Service Robot (GPSR) category 1 contest, GPSR category 2, and hospital logistics in the context of the ROPOD project.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Erick Romero Kramer, Argentina Ortega Sainz, Alex MitrevskiORCiD, Paul G. Plöger |
| Parent Title (English): | Chalup, Niemueller et al. (Eds.): RoboCup 2019: Robot World Cup XXIII. Proceedings of the 23rd RoboCup International Symposium, 8 July 2019, Sydney, Australia. Lecture Notes in Computer Science (LNCS), Vol 11531 |
| First Page: | 255 |
| Last Page: | 267 |
| ISBN: | 978-3-030-35698-9 |
| DOI: | https://doi.org/10.1007/978-3-030-35699-6_20 |
| Publisher: | Springer International Publishing |
| Place of publication: | Cham |
| Date of first publication: | 2019/12/01 |
| Note: | Abstract provided by the author. |
| Keyword: | Benchmarking; Comparative analysis; Natural language understanding; Robot commands |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Projects: | ROPOD - Ultra-flat, ultra-flexible, cost-effective robotic pods for handling legacy in logistics (EC/H2020/731848) |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2019/06/05 |
