CV

Contact Information

Name Omotoye Shamsudeen Adekoya
Professional Title Ph.D. Researcher
Email omotoye.adekoya@edu.unige.it

Professional Summary

Ph.D. researcher at the University of Genoa working on mixed-reality interfaces for heterogeneous multi-robot teams, remote supervision, teleoperation, field robotics, and MR-supported robot intelligence for multi-robot coordination.

Experience

  • 2026
    HORUS: Architecture and Performance Characterization of an Open-Source Mixed-Reality Platform for Heterogeneous Multi-Robot Operations
    I-RIM 3D Conference (I-RIM), 2026

    Accepted, to appear in Springer Proceedings in Advanced Robotics (SPAR).

  • - present

    Genoa, Italy

    Ph.D. Researcher
    RICE Lab, University of Genoa
    • Mixed-reality interfaces for multi-robot systems.
    • Remote supervision, teleoperation, shared tasking, and human-robot teaming.
  • 2026 - 2027

    Enschede, Netherlands

    Current nine-month research-abroad period
    Smart Mechatronics and Robotics, Saxion University of Applied Sciences
    • Research on VLA-based robot navigation, with emphasis on multi-robot navigation, coordination, and task execution in shared environments.
    • Integration of scene understanding, learned navigation skills, and MR interfaces so operators can inspect robot intent, state, and coordination decisions.
    • Field-robotics validation across Spot, wheeled robots, firefighting drones, and Unitree G1 humanoid platforms.

Education

  • - present

    Genoa, Italy

    Ph.D.
    University of Genoa
    Mixed reality and multi-robot systems
    • RICE Lab.
    • Research on HORUS, a mixed-reality platform for heterogeneous multi-robot supervision and coordination.
    • Research on LLM copilot planners, collaborative multi-robot task planning, scene understanding, vision-language-action skills, and robot learning for heterogeneous robot teams.
  • -

    Genoa, Italy

    M.Sc.
    University of Genoa
    Robotics Engineering
    • Master’s degree in Robotics Engineering.

  • Akure, Nigeria

    B.Eng.
    Federal University of Technology, Akure (FUTA)
    Mechanical Engineering, specialization in Mechatronics Engineering
    • Bachelor's degree in Mechanical Engineering with a specialization in Mechatronics Engineering.

Publications

Skills

Research Areas (): mixed reality, multi-robot systems, human-robot interaction, teleoperation, remote supervision, field robotics, LLM planners, VLA, robot learning