Official Bio

Dr. Adrien Maillard is a member of technical staff in the Artificial Intelligence Group, Planning and Execution Section, of the Jet Propulsion LaboratoryCalifornia Institute of Technology.

Dr. Maillard holds a Diplôme d’Ingénieur from Institut National des Sciences Appliquées de Toulouse (INSA) awarded in 2012 and a Ph.D. in Computer Science from ISAE Supaero/Université de Toulouse awarded in 2015. 

Before JPL, he has worked with CNES (the French National Space Agency), ONERA, GMV, and Charles University on a range of topics including space mission scheduling, theoretical AI planning, rover navigation, and flight dynamics. 

At JPL, Dr. Maillard participated in building a mission scheduler for NASA’s AMMOS program. He also participated in the Surface, Deformation and Change study part of NASA’s decadal survey and he contributed to ongoing scheduling software development in CLASP for the EMIT and NISAR missions.  

Dr. Maillard’s research interests are in automated planning and scheduling, heuristic search, operations research, and autonomy.  

Prior Publications in AI/Space

Vuillemin, P., Maillard, A., & Poussot-Vassal, C. (2021). Optimal modal truncation. Systems & Control Letters, 156, 105011.

Barták, Roman, et al. "A Novel Parsing-based Approach for Verification of Hierarchical Plans." 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2020.

Barták, Roman, Adrien Maillard, and Rafael C. Cardoso. "Parsing-based Approaches for Verification and Recognition of Hierarchical Plans." (2019).

Barták, Roman, Adrien Maillard, and Rafael Cauê Cardoso. "Validation of hierarchical plans via parsing of attribute grammars." Twenty-Eighth International Conference on Automated Planning and Scheduling. 2018.

Barták, Roman, and Adrien Maillard. "Attribute grammars with set attributes and global constraints as a unifying framework for planning domain models." Proceedings of the 19th International Symposium on Principles and Practice of Declarative Programming. 2017.

Hébrard, Emmanuel, et al. "Approximation of the parallel machine scheduling problem with additional unit resources." Discrete Applied Mathematics 215 (2016): 126-135.

Maillard, Adrien, et al. "Adaptable data download schedules for agile earth-observing satellites." Journal of Aerospace Information Systems 13.3 (2016): 280-300.

Maillard, Adrien, et al. "Postponing decision-making to deal with resource uncertainty on earth-observation satellites." International Workshop on Planning and Scheduling for Space. 2015.

Maillard, Adrien. Flexible Scheduling for Agile Earth Observing Satellites. Diss. Institut supérieur de l'Aéronautique et de l'Espace (ISAE), 2015.

Maillard, Adrien, et al. "Ground and onboard decision-making on satellite data downloads." Twenty-Fifth International Conference on Automated Planning and Scheduling. 2015.

Pralet, Cédric, et al. "Satellite data download management with uncertainty about the generated volumes." Twenty-Fourth International Conference on Automated Planning and Scheduling. 2014.

Maillard, Adrien, et al. "Building Flexible Download Plans for Agile Earth-Observing Satellites." 12th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS). 2014.

Selected Publications