Gabriele M. T. D’Eleuterio
Also known as Gabriele D’Eleuterio, Gabriele D'Eleuterio, Gabriele M.T. D'Eleuterio, Gabriele MT D'Eleuterio, G. M. T. D'Eleuterio
Gabriele D’Eleuterio is a University of Toronto aerospace researcher whose work connects artificial neural systems, robot swarms and space exploration. He coauthored work on neural-tissue architectures in 2005 and autonomous lunar excavation robots in 2008. His later research examined neural robot control in 2012, rotation and pose mathematics in 2022, and Martian rover swarms in 2026. In 2025, he attends the Patterson lecture as a professor at UTIAS. As of October 2026, he is an active member of the university’s Robotics Institute, affiliated with UTIAS, where he leads the Space Robotics Group.
- Now at
- University of Toronto
- Works
- 119
- Citations
- 1,420
- h-index
- 19
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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2005
Artificial neural tissue
In 2005, he coauthors a paper presenting an artificial neural-tissue architecture inspired by the mammalian visual cortex. The model uses gene regulation to support emergent, self-organized task decomposition.
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2008
Neural controllers for lunar excavation
In 2008, he coauthors a paper that presents Artificial Neural Tissue (ANT) as a controller for autonomous multirobot lunar excavation. The paper describes teams that avoid obstacles, interpret excavation plans, dig in layers, and keep routes clear.
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2012
Neural control for robots
In 2012, he coauthors a paper on neural-network control of robots that studies the ANT architecture’s self-organized task decomposition. The paper describes the architecture as robust and scalable across network neurons, synapses and initialization parameters.
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2013
Leading U of T’s robotics institute
In 2013, he heads U of T’s Institute for Robotics & Mechatronics. The institute spans electrical and computer engineering, mechanical and industrial engineering, UTIAS, and biomedical engineering.
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2022
Eigenstructures of robot poses
In 2022, he coauthors an arXiv paper that characterizes rotations and poses through the eigenstructure of their matrix representations, with applications in robotics, aerospace, computer vision and graphics.
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2025
Professor at UTIAS
In 2025, he attends the Gordon N. Patterson lecture as a professor at UTIAS, alongside Tim Barfoot and Keenan Burnett. He holds B.A.Sc., M.A.Sc., and Ph.D. degrees from the University of Toronto.
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September 2026
Martian dust-rover swarms
In September 2026, he coauthors a study of wind-propelled Martian Dust Rovers. The study models their trajectories and communication links and estimates that a 20-rover swarm can stay connected over a sol with a per-rover range of 1.6–4.1 km.
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As of October 2026
Active Robotics Institute member
As of October 2026, he is an active member of the University of Toronto Robotics Institute and is affiliated with UTIAS. He also leads the UTIAS Space Robotics Group.
Career
- NowUniversity of TorontoMember, University of Toronto Robotics Institute
- NowUniversity of TorontoProfessor, UTIAS
- NowUniversity of TorontoLeader, UTIAS Space Robotics Group
- University of TorontoHead, Institute for Robotics & Mechatronics
- University of TorontoProfessor
Education
- University of TorontoB.A.Sc.
- University of TorontoM.A.Sc.
- University of TorontoPh.D.
Sources and credits
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- A coarse-coding framework for a gene-regulatory-based artificial neural tissue
- Multirobot lunar excavation and ISRU using artificial-neural-tissue controllers
- Tackling learning intractability through topological organization and regulation of cortical networks
- Robots Help Celebrate the Institute for Robotics & Mechatronics
- On the Eigenstructure of Rotations and Poses: Commonalities and Peculiarities
- Keenan Burnett receives 2025 Gordon N Patterson Student Award
- Space Robotics - University of Toronto Institute for Aerospace Studies
- A Probabilistic Trajectory and Dispersion Study of Martian Tumbleweed Rover Swarms in Global Dust Storm Conditions
- People - University of Toronto Robotics Institute