Papers
18
Total Citations
216
H-Index
8
About
Andreas L. Symeonidis is a robotics and autonomous systems researcher whose work spans robot navigation, localization, social robotics, and cloud-enabled robotic architectures. He is perhaps best known for his foundational contributions to the RAPP (Robotic Applications) paradigm, a pioneering ecosystem designed to empower older adults through socially assistive robots. His work on RAPP, documented across multiple highly cited publications from 2016 onward, introduced both variable structure control frameworks and integrated software architectures that redefined how robots can serve vulnerable populations. Symeonidis has made significant strides in mobile robot localization and navigation, including evaluating ROS-based planners in 2D environments and developing novel particle filter and scan-matching combinations for precise 2D localization. A distinctive thread of his research involves RFID-based localization, where autonomous robots equipped with commercial RFID hardware perform Simultaneous Localization and Mapping (SLAM) while pinpointing tagged objects — work with clear applications in automated inventory management across both ground robots and drones. More recently, he has explored low-code development frameworks for connected robots, lowering barriers to building sophisticated robotic applications. With papers accumulating over 180 citations collectively, Symeonidis continues to bridge theoretical robotics with real-world deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Variable structure robot control systems: The RAPP approach35 citations · 2017
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- 7Phase ReLock - Localization of RFID Tags by a Moving Robot13 citations · 2019
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- 9A Low-Code Approach for Connected Robots8 citations · 2023
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