Emmanuel Oyekanlu

About

Dr. Emmanuel Oyekanlu is a leading researcher at the intersection of industrial robotics, 5G communications, and smart manufacturing. His most impactful work centers on the integration of Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) into modern production ecosystems. His highly cited 2020 review, with over 255 citations, provides a comprehensive roadmap for deploying these systems within 5G-based smart factories, identifying critical challenges for system integrators and charting future research directions for resilient, high-efficiency intralogistics. This work has become a foundational reference for engineers and academics navigating the convergence of robotics and next-generation wireless networks. Earlier in his career, Dr. Oyekanlu contributed to fundamental robotics perception, developing a robust laser scan matching technique using FAST CVSAC to improve robot localization and mapping in dynamic environments. His research bridges the gap between theoretical advances in autonomous navigation and the practical demands of industrial automation, making him a key voice in the evolution of intelligent, connected manufacturing systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

   255 citations · 2020
2. 2
   Laser Scan Matching by FAST CVSAC in Dynamic Environment

   5 citations · 2013

Key Collaborators

Contact & Links