Papers
11
Total Citations
97
H-Index
6
About
Stathis Kasderidis is a pioneering researcher in cognitive robotics, whose work bridges the gap between biological attention mechanisms and autonomous machine intelligence. His foundational research explores how robots can perceive, reason, and act through embodied simulation and attention-based control. Kasderidis introduced the influential framework of **Attentional Agents**, which models robot cognition as a process of managing multiple, often conflicting, sensory inputs through selective focus—a concept detailed in his highly cited 2004 paper (12 citations). His major contributions include developing hierarchical neural architectures inspired by human brain guidance for perception and action (2009, 14 citations), and advancing multi-target tracking techniques for mobile robots using laser range scanners (2008, 14 citations). With over 95 total citations across his ten most-cited works, Kasderidis has demonstrated how robots can learn sensorimotor maps through exploration and even imagine actions before executing them. His 2013 paper on inference through embodied simulation (19 citations) remains a cornerstone for researchers seeking to create cognitive machines that reason by mentally simulating interactions with their environment.
Research Focus
Key Achievements
Top Papers
- 1Inference Through Embodied Simulation in Cognitive Robots19 citations · 2013
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- 4Attentional Agents and robot control12 citations · 2004
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- 6Actions and Imagined Actions in Cognitive Robots8 citations · 2010
- 7Attention-Based Robot Control6 citations · 2003
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- 9A Basis for Cognitive Machines5 citations · 2006
- 10Attention-based learning3 citations · 2005