Ioannis Papaioannou
Papers
2
Total Citations
19
H-Index
2
About
Ioannis Papaioannou is a researcher specializing in human-robot interaction (HRI) and dialogue systems, with a particular focus on enabling robots to communicate naturally and effectively with people in real-world environments. His work sits at the intersection of robotics, artificial intelligence, and natural language processing, addressing the complex challenges that arise when machines must engage with humans in dynamic, social contexts. Papaioannou's most recognized contribution, "Human-Robot Interaction Requires More Than Slot Filling" (2018, 16 citations), challenges conventional approaches to dialogue management by demonstrating that effective HRI demands multi-threaded dialogue capable of handling both goal-oriented collaborative tasks and open-ended social conversation simultaneously — a significant conceptual advance over simpler slot-filling models. This work highlights the nuanced communicative demands placed on social robots operating alongside humans. His complementary work on ROS-based planning and execution frameworks (2017) further grounds these insights in practical robotics infrastructure, combining high-level planning tools like ROSPlan with automated finite state machines to achieve fast, robust action selection during live human interaction. Together, these contributions reflect a coherent research vision: building robots that are not merely functional, but genuinely responsive social agents capable of operating fluidly in human-populated environments.
Research Focus
Key Achievements
Top Papers
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