Emmanouil Hourdakis

About

Emmanouil Hourdakis is a cognitive robotics researcher whose work spans the intersection of artificial intelligence, embodied cognition, and human-robot collaboration. His early and most influential contributions address the symbol grounding problem — the challenge of anchoring abstract language symbols to physical, sensorimotor experience. His 2007 paper "Integrating Language and Cognition: A Cognitive Robotics Approach" (47 citations) and complementary 2006 work on symbol grounding transfer (29 citations) established him as a significant voice in how robotic agents can acquire language directly grounded in action representations, leveraging neural network architectures as cognitive modeling tools. Hourdakis later extended his research into the temporal dimensions of multi-agent interaction, exploring how timing awareness enhances human-robot collaboration and task planning, with notable contributions in 2016 and 2020. More recently, he has tackled the engineering challenges of deploying intelligent robots in real environments, producing impactful work on visual SLAM for humanoid robots, including FPGA and reconfigurable system-on-chip accelerators to enable robust, real-time localization and mapping. With over 140 cumulative citations, his career traces a coherent arc from theoretical cognitive modeling to practical robotic implementation, making his research valuable reading for students bridging AI, neuroscience, and robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Integrating Language and Cognition: A Cognitive Robotics Approach

   47 citations · 2007
2. 2
   Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots

   29 citations · 2006
3. 3
   Time-informed task planning in multi-agent collaboration

   14 citations · 2016
4. 4
   Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots

   14 citations · 2006
5. 5
   Reconfigurable System-on-Chip Architectures for Robust Visual SLAM on Humanoid Robots

   11 citations · 2022
6. 6
   roboSLAM: Dense RGB-D SLAM for Humanoid Robots

   10 citations · 2021
7. 7
   A Robust Method to Predict Temporal Aspects of Actions by Observation

   5 citations · 2018
8. 8
   Robotic Interval Timing based on Active Oscillations

   4 citations · 2014
9. 9
   Time-Aware Multi-Agent Symbiosis

   3 citations · 2020
10. 10
    FPGA Accelerators for Robust Visual SLAM on Humanoid Robots

    3 citations · 2022

Key Collaborators

Contact & Links