CV
Contact Information
| Name | Omotoye Shamsudeen Adekoya |
| Professional Title | Ph.D. Researcher |
| adekoyaomotoye@gmail.com |
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
-
- 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
Nine-month research-abroad period
Smart Mechatronics and Robotics, Saxion University of Applied Sciences
- Primary focus on MR-supported AI planning for robot teams, including a high-level LLM copilot that reasons over scene context, proposes collaborative task plans, and communicates plan intent to the human operator.
- Delegation of lower-level actions to reusable robot skills, including VLA-style policies and robot-learning components.
- 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.
Publications
-
2026 HORUS: A Mixed Reality Interface for Managing Teams of Mobile Robots
International Conference on Ubiquitous Robots (UR), 2026
Accepted.
-
2026 A Multi-Operator Mixed-Reality Interface for Multi-Robot Control and Coordination
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2026
Accepted.
Skills
Research Areas ():
mixed reality, multi-robot systems, human-robot interaction, teleoperation, remote supervision, field robotics, LLM planners, VLA, robot learning