Omotoye Shamsudeen Adekoya

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Omotoye Shamsudeen Adekoya is a Ph.D. researcher at the University of Genoa in the RICE Lab. His research focuses on mixed-reality interfaces for heterogeneous multi-robot teams, with an emphasis on supervision, teleoperation, shared tasking, and human-robot teaming in complex environments.

A second thread of his Ph.D. explores mixed reality as an interface layer for robot intelligence and coordination. This work focuses on LLM-based copilot planning for collaborative multi-robot tasks, scene understanding for human and robot partners, vision-language-action skills for individual robot actions, and robot learning for heterogeneous teams.

His current work centers on HORUS, a mixed-reality platform for coordinating robot teams through spatial interfaces, shared maps, robot state visualization, and operator control tools. Starting July 15, 2026, he will conduct a nine-month research-abroad period with Saxion’s Smart Mechatronics and Robotics group in Enschede, the Netherlands. The main focus of this visit is MR-supported AI planning for robot teams: a high-level LLM copilot that reasons over scene context, proposes collaborative task plans, communicates plan intent to the human operator, and delegates lower-level actions to robot skills, including VLA-style policies and robot-learning components. The visit will also support field-robotics validation of HORUS with platforms including Boston Dynamics Spot, a wheeled robot, a firefighting drone, and a Unitree G1 humanoid.

He received an M.Sc. in Robotics Engineering from the University of Genoa.

Email: adekoyaomotoye@gmail.com

Selected Publications

2026

  1. UR
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    HORUS: A Mixed Reality Interface for Managing Teams of Mobile Robots
    Omotoye Shamsudeen Adekoya, Antonio Sgorbissa, and Carmine Tommaso Recchiuto
    In International Conference on Ubiquitous Robots (UR), 2026
    Accepted
    arXiv Video Code Website
  2. RO-MAN
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    A Multi-Operator Mixed-Reality Interface for Multi-Robot Control and Coordination
    Omotoye Shamsudeen Adekoya, Antonio Sgorbissa, and Carmine Tommaso Recchiuto
    In IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2026
    Accepted
    arXiv Code Website

2025

  1. I-RIM
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    Mixed-Reality Interface for Robot Teams
    Omotoye Shamsudeen Adekoya, Antonio Sgorbissa, and Carmine Tommaso Recchiuto
    In I-RIM 3D Conference (I-RIM), 2025
    DOI Poster

2024

  1. I-RIM
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    Mixed Reality Interface for Managing Heterogeneous Robot Teams in Complex Environments
    Omotoye Shamsudeen Adekoya, Antonio Sgorbissa, and Carmine Tommaso Recchiuto
    In I-RIM 3D Conference (I-RIM), 2024
    DOI Poster
All Publications
Experiences
present Ph.D. Researcher, RICE Lab, University of Genoa.
2026-2027 Nine-month research-abroad period, Smart Mechatronics and Robotics, Saxion University of Applied Sciences, focused on LLM copilot planning and MR-supported field robotics.
M.Sc. Robotics Engineering, University of Genoa.
research Mixed reality, multi-robot systems, human-robot interaction, remote supervision, teleoperation, field robotics, LLM planners, VLA skills, and robot learning.