Papers
31
Total Citations
643
H-Index
14
About
Emmanouil Tsardoulias is a robotics researcher whose work spans autonomous navigation, SLAM (Simultaneous Localization and Mapping), RFID-based localization, and socially assistive robotics. His most cited contribution, a 2016 review of global path planning methods for occupancy grid maps (177 citations), has become an essential reference for researchers designing navigation systems across diverse environments. This foundational work, combined with his evaluations of ROS-enabled planners, demonstrates a sustained commitment to advancing robotic autonomy in real-world settings. A significant thread of Tsardoulias's research focuses on integrating RFID technology with mobile robotics. Across multiple high-impact studies, he developed novel methods enabling robots equipped with off-the-shelf RFID hardware to localize tags in two and three dimensions using single-antenna setups, phase unwrapping, and non-linear optimization — work with direct applications in warehouse management and retail inventory systems. He has also contributed meaningfully to social robotics through the RAPP project, helping architect flexible, variable-structure systems designed to support elderly and vulnerable populations. His FPGA-based SLAM implementation and Critical Rays Scan Match algorithm further highlight his technical range. With over 450 cumulative citations, Tsardoulias represents an important voice bridging theoretical robotics research and practical deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Variable structure robot control systems: The RAPP approach35 citations · 2017
- 5
- 6Critical Rays Scan Match SLAM30 citations · 2013
- 7An FPGA implementation of the SMG-SLAM algorithm30 citations · 2011
- 8
- 9
- 10