Papers
46
Total Citations
1,240
H-Index
19
About
Yiannis Kantaros is a prominent robotics and control systems researcher whose work spans multi-robot systems, temporal logic planning, distributed control, and robot learning. His research addresses some of the most challenging problems in autonomous systems: enabling large teams of robots to accomplish complex tasks reliably, efficiently, and with limited communication. Kantaros has made foundational contributions to temporal logic-based planning for multi-robot systems. His STyLuS* algorithm (2020, 115 citations) introduced a highly scalable, asymptotically optimal approach to synthesizing control policies from linear temporal logic specifications—a significant advance over computationally intractable prior methods. His abstraction-free planning framework (2021) further reduced the computational burden that had long constrained the field. Beyond task planning, Kantaros has pioneered intermittent connectivity control, developing distributed frameworks that allow robots to coordinate and share information without requiring continuous communication (103 and 80 citations). His early work on coverage control and communication-aware sensor networks (2015, 121 and 101 citations) established key foundations in heterogeneous swarm coordination. More recently, he has extended these ideas into reinforcement learning and active information gathering. With over 800 cumulative citations across his top works, Kantaros represents a leading voice in scalable, formally grounded autonomous multi-robot intelligence.
Research Focus
Key Achievements
Top Papers
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- 3Distributed Intermittent Connectivity Control of Mobile Robot Networks103 citations · 2016
- 4Distributed communication-aware coverage control by mobile sensor networks101 citations · 2015
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- 6Distributed State Estimation Using Intermittently Connected Robot Networks76 citations · 2019
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