Evangelos C. Papakitsos
Papers
8
Total Citations
46
H-Index
4
About
Evangelos C. Papakitsos is a researcher at the forefront of human-robot interaction, specializing in natural language processing (NLP) and artificial intelligence for robotic systems. His work centers on bridging the communication gap between humans and machines, with a particular focus on developing intelligent interfaces that enable robots to understand and generate natural language. His most cited paper, "Inquiring Natural Language Processing Capabilities on Robotic Systems through Virtual Assistants: A Systemic Approach" (2023, 19 citations), explores how virtual assistants can serve as the cognitive core of robotic systems, managing communication and action. Papakitsos has made significant contributions to natural language understanding (NLU) and automatic speech recognition (ASR) for operational human-robot interfaces, as demonstrated in his 2017 paper on NLU (8 citations) and his 2025 work on ASR implementation (5 citations). Notably, he has developed a natural language generation algorithm for Greek using hole semantics and systemic grammar, and has explored applications for assisting individuals with brain damage in speech perception. His work on educational robotics, including the implementation of Karel in 3D, further showcases his commitment to advancing both theoretical and applied aspects of intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploring natural language understanding in robotic interfaces8 citations · 2017
- 3
- 4Systemic And Hole Semantics In Human-Machine Language Interfaces4 citations · 2023
- 5Robotic Sequencing for Intelligent Mission Management3 citations · 2025
- 6
- 7
- 8Educational Robotics: The Implementation of Karel in 3D1 citations · 2024