Robot Metacognition: Decision Making with Confidence for Tool Invention
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866917096045150208 |
|---|---|
| author | Meera, Ajith Anil Collis, Poppy Arbuzova, Polina Torres, Abián Kinghorn, Paul F Sanz, Ricardo Lanillos, Pablo |
| author_facet | Meera, Ajith Anil Collis, Poppy Arbuzova, Polina Torres, Abián Kinghorn, Paul F Sanz, Ricardo Lanillos, Pablo |
| contents | Robots today often miss a key ingredient of truly intelligent behavior: the ability to reflect on their own cognitive processes and decisions. In humans, this self-monitoring or metacognition is crucial for learning, decision making and problem solving. For instance, they can evaluate how confident they are in performing a task, thus regulating their own behavior and allocating proper resources. Taking inspiration from neuroscience, we propose a robot metacognition architecture centered on confidence (a second-order judgment on decisions) and we demonstrate it on the use case of autonomous tool invention. We propose the use of confidence as a metacognitive measure within the robot decision making scheme. Confidence-informed robots can evaluate the reliability of their decisions, improving their robustness during real-world physical deployment. This form of robotic metacognition emphasizes embodied action monitoring as a means to achieve better informed decisions. We also highlight potential applications and research directions for robot metacognition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_16390 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robot Metacognition: Decision Making with Confidence for Tool Invention Meera, Ajith Anil Collis, Poppy Arbuzova, Polina Torres, Abián Kinghorn, Paul F Sanz, Ricardo Lanillos, Pablo Robotics Artificial Intelligence Robots today often miss a key ingredient of truly intelligent behavior: the ability to reflect on their own cognitive processes and decisions. In humans, this self-monitoring or metacognition is crucial for learning, decision making and problem solving. For instance, they can evaluate how confident they are in performing a task, thus regulating their own behavior and allocating proper resources. Taking inspiration from neuroscience, we propose a robot metacognition architecture centered on confidence (a second-order judgment on decisions) and we demonstrate it on the use case of autonomous tool invention. We propose the use of confidence as a metacognitive measure within the robot decision making scheme. Confidence-informed robots can evaluate the reliability of their decisions, improving their robustness during real-world physical deployment. This form of robotic metacognition emphasizes embodied action monitoring as a means to achieve better informed decisions. We also highlight potential applications and research directions for robot metacognition. |
| title | Robot Metacognition: Decision Making with Confidence for Tool Invention |
| topic | Robotics Artificial Intelligence |
| url | https://arxiv.org/abs/2511.16390 |