Themistoklis Charalambous
KTH Royal Institute of Technology, Aalto University, University of Cyprus
Papers
6
Total Citations
285
H-Index
4
About
Themistoklis Charalambous is a multidisciplinary researcher whose work spans robotics, distributed systems, computational geometry, and multi-agent networks. His early research made significant strides in human-robot interaction, with his 2012 framework for describing and generating interactive motor behaviors accumulating 173 citations — establishing him as a notable voice in understanding how robots and humans coordinate physical movement. This work laid important groundwork for designing more intuitive and socially aware robotic systems. Charalambous has also made meaningful contributions to distributed computing and networked systems. His 2018 monograph on distributed averaging and balancing in network systems (56 citations) addresses the growing complexity of cyber-physical infrastructures, including smart grids, while his theoretical work on weight balancing over directed graphs advances the mathematical foundations of decentralized coordination. More recently, his research has broadened into computational geometry, with a comprehensive 2024 survey on Delaunay triangulation across CPUs, GPUs, and FPGAs already attracting 45 citations — reflecting strong community interest. His work on quadrotor navigation and distributed convex optimization further demonstrates a researcher who bridges theory and real-world application. Across these diverse domains, Charalambous consistently addresses fundamental challenges in how intelligent systems communicate, compute, and coordinate.
Research Focus
Key Achievements
Top Papers
- 1A Framework to Describe, Analyze and Generate Interactive Motor Behaviors173 citations · 2012
- 2Distributed Averaging and Balancing in Network Systems56 citations · 2018
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- 4Distributed minimum-time weight balancing over digraphs5 citations · 2014
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- 6