Papers
8
Total Citations
59
H-Index
5
About
Spyros Lalis is a researcher whose work sits at the intersection of pervasive computing, mobile robotics, and reconfigurable hardware architectures. His research addresses the fundamental challenges of deploying intelligent, autonomous systems in real-world environments — from coordinating heterogeneous robot teams to accelerating computationally intensive algorithms on specialized hardware. Lalis is perhaps best known for his contributions to the TeCoLa programming framework (2016, 21 citations), which enables pervasive applications to harness the diverse sensing and actuation capabilities of collaborative robotic platforms. His work on fault tolerance for mobile robotic applications further demonstrates his commitment to making multi-robot systems robust and reliable in demanding missions. A significant strand of his research focuses on hardware acceleration for Simultaneous Localization and Mapping (SLAM), a critical capability for autonomous navigation. His investigations into FPGA-based and approximate computing architectures for both dense SLAM and visual SLAM on humanoid robots — earning over 20 citations collectively — represent meaningful advances in achieving real-time performance under tight power constraints. Across his portfolio, Lalis consistently bridges the gap between distributed systems theory and practical robotics engineering, making his work valuable reading for students and researchers working on autonomous systems, embedded computing, and cyber-physical applications.
Research Focus
Key Achievements
Top Papers
- 1TeCoLa21 citations · 2016
- 2
- 3FPGA Architectures for Approximate Dense SLAM Computing10 citations · 2021
- 4Fault- Tolerance Support for Mobile Robotic Applications6 citations · 2018
- 5
- 6FPGA Accelerators for Robust Visual SLAM on Humanoid Robots3 citations · 2022
- 7Virtual sensor services for simulated mobile nodes2 citations · 2017
- 8Architectures for SLAM and Augmented Reality Computing1 citations · 2021