Papers
7
Total Citations
103
H-Index
4
About
Alejandra Ciria is a pioneering researcher at the intersection of cognitive robotics, predictive processing, and embodied artificial intelligence. Her work centers on one of the most ambitious challenges in modern AI: designing autonomous robots capable of continuous learning, adaptive behavior, and genuine cognitive development through environmental interaction. Ciria's most influential contribution, "World Models and Predictive Coding for Cognitive and Developmental Robotics" (2023), has already garnered 63 citations, establishing her as a leading voice in applying predictive coding frameworks to robotics. This work, alongside her 2021 review of predictive processing in cognitive robotics, demonstrates her commitment to bridging theoretical cognitive science with practical robotic systems — arguing that top-down, hierarchical information processing offers a unifying framework for perception and action. Her earlier work on embodied cognitive robotics and sensorimotor learning (2018, 18 citations) laid important groundwork for understanding how artificial agents acquire skills through physical interaction. More recently, she has expanded her scope to include context-grounding in robotic systems and the fascinating emergence of altruistic behavior in evolving robot populations, reflecting a remarkably broad intellectual curiosity. Ciria's research offers students a compelling vision of robotics deeply informed by biology and cognitive science.
Research Focus
Key Achievements
Top Papers
- 1
- 2Embodied Cognitive Robotics and the learning of sensorimotor schemes18 citations · 2018
- 3Predictive Processing in Cognitive Robotics: A Review6 citations · 2021
- 4
- 5Grounding Context in Embodied Cognitive Robotics4 citations · 2022
- 6Cognitive Robotics: The New Challenges in Artificial Intelligence3 citations · 2018
- 7