TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Romero Kramer, Erick
A1  - Ortega Sainz, Argentina
A1  - Mitrevski, Alex
A1  - Plöger, Paul G.
T1  - Tell Your Robot What To Do: Evaluation of Natural Language Models for Robot Command Processing
T2  - 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
N2  - 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.
KW  - Natural language understanding
KW  - Robot commands
KW  - Comparative analysis
KW  - Benchmarking
SN  - 978-3-030-35698-9
SB  - 978-3-030-35698-9
U6  - https://doi.org/10.1007/978-3-030-35699-6_20
DO  - https://doi.org/10.1007/978-3-030-35699-6_20
N1  - Abstract provided by the author.
SP  - 255
EP  - 267
PB  - Springer International Publishing
CY  - Cham
ER  -