Antoine Ligot
Papers
14
Total Citations
401
H-Index
11
About
Antoine Ligot is a robotics researcher whose work centers on swarm robotics, automatic design methodologies, and the simulation-to-reality transfer problem. His research addresses one of the field's most fundamental challenges: how to systematically and efficiently design collective behaviors for robot swarms, systems that are inherently distributed, redundant, and dynamic. Ligot has made significant contributions through his development and analysis of automatic and modular design frameworks for swarm control software, most notably advancing the AutoMoDe framework and introducing behavior trees as a viable control architecture in swarm design. His 2019 manifesto on automatic off-line design (79 citations) has become a key reference for classifying and contextualizing design approaches in the field. Equally influential is his rigorous investigation of the "reality gap" — the discrepancy between simulated and real-world robot performance — for which he has proposed innovative simulation-only experimental methods to predict and mitigate its effects, work that has accumulated over 50 citations. With a cumulative citation count exceeding 360 across his top publications, Ligot's empirical, systematic approach to swarm robotics design has provided researchers with both conceptual frameworks and practical tools, making his body of work an essential reference for anyone entering the field of autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1Automatic Off-Line Design of Robot Swarms: A Manifesto79 citations · 2019
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- 8On Mimicking the Effects of the Reality Gap with Simulation-Only Experiments19 citations · 2018
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- 10On Using Simulation to Predict the Performance of Robot Swarms12 citations · 2022