RT Journal Article
T1 Perceptions or Actions? Grounding How Agents Interact  Within a Software Architecture for Cognitive Robotics.
A1 Marfil-Robles, Rebeca
A1 Romero-Garcés, Adrián
A1 Bandera-Rubio, Juan Pedro
A1 Manso, Luis J.
A1 Calderita, Luis V.
A1 Bustos, Pablo
A1 Bandera-Rubio, Antonio Jesús
A1 García-Polo, Javier
A1 Fernández, Fernando
A1 Voilmy, Dimitri
K1 Robótica
K1 Ingeniería del software
K1 Percepción
AB One of the aims of cognitive robotics is to endow robots with the ability to plan solutions for complex goals and then to enact those plans. Additionally, robots should react properly upon encountering unexpected changes in their environment that are not part of their planned course of actions. This requires a close coupling between deliberative and reactive control flows. From the perspective of robotics, this coupling generally entails a tightly integrated perceptuomotor system, which is then loosely connected to some specific form of deliberative system such as a planner. From the high-level perspective of automated planning, the emphasis is on a highly functional system that, taken to its extreme, calls perceptual and motor modules as services when required. This paper proposes to join the perceptual and acting perspectives via a unique representation where the responses of all software modules in the architecture are generalized using the same set of tokens. The proposed representation integrates symbolic and metric information. The proposed approach has been successfully tested in CLARC, a robot that performs Comprehensive Geriatric Assessments of elderly patients. The robot was favourably appraised in a survey conducted to assess its behaviour. For instance, using a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree), patients reported an average of 4.86 when asked if they felt confident during the interaction with the robot. This paper proposes a mechanism for bringing the perceptual and acting perspectives closer within a distributed robotics architecture. The idea is built on top of the blackboard model and scene graphs. The modules in our proposal communicate using a short-term memory, writing the perceptual information they need to share with other agents and accessing the information they need for determining the next goals to address.
PB Springer
YR 2019
FD 2019-11-09
LK https://hdl.handle.net/10630/34433
UL https://hdl.handle.net/10630/34433
LA eng
NO Marfil, R., Romero-Garces, A., Bandera, J.P. et al.  Perceptions or Actions? Grounding How Agents  Interact Within a Software Architecture for Cognitive  Robotics. Cogn Comput 12, 479–497 (2020).
NO This work has been partially funded by the EU ECHORD++ project (FP7-ICT-601116) and the RTI2018-099522-B (MICINN and FEDER funds).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026