Konstantinos Panayiotou
Papers
8
Total Citations
110
H-Index
6
About
Konstantinos Panayiotou is a leading researcher in robotics, with a focus on social inclusion, autonomous navigation, and accessible robotic systems. His work centers on integrating robotics with cloud and IoT technologies to create more capable, open, and user-friendly robots. A key contribution is the RAPP paradigm, which proposes a variable structure control system and integrated architecture for social robotics, enabling robots to assist vulnerable populations—work that has garnered over 70 citations across his foundational papers. Panayiotou has also pioneered real-time 3D localization of passive RFID tags using ground robots and drones, solving critical challenges for autonomous inventory management in unknown environments. His recent research emphasizes low-code and rapid application development frameworks, aiming to democratize robotics for "citizen developers" without deep programming expertise. Notably, he has explored FPGA-based deep convolutional neural network deployment for low-power object recognition, extending robot autonomy and operational life. With a portfolio spanning over 110 citations, Panayiotou’s contributions are shaping the future of connected, inclusive, and energy-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Variable structure robot control systems: The RAPP approach35 citations · 2017
- 3
- 4A Low-Code Approach for Connected Robots8 citations · 2023
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- 7
- 8Creating an extrovert robotic assistant via IoT networking devices2 citations · 2018