Robot behavior debugger for non-expert users in convenience stores using behavior trees

As the problematic consequence of an aging society, with increasing labor shortage, there is a need for service robots to efficiently support the works in many places such as convenience stores. However, it is difficult to program a robot behavior and meet the needs of the shop staff (i.e. non-exper...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Advanced robotics Ročník 36; číslo 17-18; s. 951 - 966
Hlavní autoři:	Tulathum, Pattaraporn, Usawalertkamol, Bunyapon, Garcia Ricardez, Gustavo Alfonso, Takamatsu, Jun, Ogasawara, Tsukasa, Matsumoto, Kenichi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Taylor & Francis 17.09.2022
Témata:	debugging system end-user robot programming Future Convenience Store Challenge Human-Robot Interaction (HRI) non-expert users
ISSN:	0169-1864, 1568-5535
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	As the problematic consequence of an aging society, with increasing labor shortage, there is a need for service robots to efficiently support the works in many places such as convenience stores. However, it is difficult to program a robot behavior and meet the needs of the shop staff (i.e. non-expert users who lack of knowledge and experience in robot programming). Hence, there is the need for a system to help non-expert users to identify and fix the issues within the robot behaviors. This paper proposes a Behavior Tree-based robot behavior creation system for non-expert users with four debugging features and a simulator. Non-expert users can use drag-and-drop composition to create the robot behavior program. Moreover, our debugger allows non-expert users to use breakpoints, log node status, monitor node execution, show robot status variables, and also can visually verify the robot behaviors via a simulator. We evaluate the effectiveness of our debugging system with 14 non-expert users by asking them to solve three tasks (i.e. creating and fixing Behavior Trees) from the given convenience store scenario. The experimental results show that more than 70% of non-expert users can utilize our debugging features to finish all the tasks. Additionally, our system usability has a high marginal level from the subjects' perspective according to the System Usability Scale (SUS).
ISSN:	0169-1864 1568-5535
DOI:	10.1080/01691864.2022.2115316