Gabriele Sartor
Papers
2
Total Citations
11
H-Index
2
About
Gabriele Sartor is a roboticist pioneering the integration of curiosity and intrinsic motivation into autonomous systems. His research centers on developing cognitive architectures that enable robots to move beyond rigid, pre-programmed behaviors, embracing open-ended learning within the classic sense-plan-act paradigm. Sartor’s major contribution is the design of the IMPACT (Intrinsically Motivated Planning Architecture for Curiosity-driven roboTs) framework, a project funded by the European Space Agency (ESA). This architecture allows robots to autonomously set their own learning goals, driven by curiosity, rather than relying solely on external rewards. His most cited work, "Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm" (2020, 9 citations), demonstrates how this approach can be practically implemented, enabling robots to explore and adapt in unstructured environments. A related foundational paper, "An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots" (2019), further formalizes these concepts. Sartor’s work is particularly notable for its potential application in space exploration, where robots must operate with high autonomy in unknown terrains. By imbuing machines with a form of artificial curiosity, he is helping to create a new generation of adaptive, self-directed robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2