Adetokunbo Arogbonlo
Papers
6
Total Citations
25
H-Index
2
About
Adetokunbo Arogbonlo is a pioneering researcher at the forefront of intelligent robotics and Industry 5.0, where his work bridges human-machine collaboration with advanced control systems. His most impactful contribution, "Emerging Synergies: Industry 5.0 Integration of Complex Systems" (9 citations), explores how human capabilities harmonize with cutting-edge technologies to elevate productivity and sustainability in industrial processes. Arogbonlo’s core expertise lies in robust control design for continuum and biped robots, as demonstrated in his highly cited paper on adaptive neural network-based sliding mode control (8 citations), which tackles the steep challenge of managing nonlinearity and elasticity in delicate applications. He has also advanced trajectory tracking through innovative integrations of active force control with reinforcement learning and adaptive neuro-fuzzy inference systems, achieving superior disturbance rejection in SCARA and biped robots. His recent work on an intelligent, secure Internet of Robotic Things framework (2025) underscores his commitment to safe, scalable automation across agriculture, manufacturing, and surveillance. With a growing citation footprint and a focus on real-world impact, Arogbonlo is shaping the next generation of resilient, human-centric robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Emerging Synergies: Industry 5.0 Integration of Complex Systems9 citations · 2024
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