Samuel-Soma M. Ajibade

About

Samuel-Soma M. Ajibade is a rising researcher at the intersection of swarm intelligence, robotics, and machine learning. His work focuses on optimizing autonomous systems, from path planning algorithms inspired by social animal behavior to integrating data mining for cybersecurity in smart robots. In his most-cited survey (6 citations), he provides a comprehensive review of swarm intelligence algorithms for path planning, bridging the gap between 2019 and 2024 advances. Ajibade also explores the transformative role of robotics in Industry 4.0 manufacturing, analyzing how automation and flexibility reshape production. Notably, he applies machine learning to creative domains, developing hybrid deep learning models for dance recognition and robotic vision—a novel fusion of AI and the arts. His research on virus defense using data mining for smart robots demonstrates a practical focus on securing autonomous systems. With contributions spanning optimization, automation, and AI-driven perception, Ajibade is building a foundation for more intelligent, adaptive, and secure robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Survey on Swarm Intelligence Algorithms for Optimizing Path Planning

   6 citations · 2025
2. 2
   Smart robots’ virus defense using data mining technology

   3 citations · 2023
3. 3
   Analysing the Roles of Robotics in Manufacturing Organizations in the Era of Industry 4.0

   2 citations · 2024
4. 4
   A Literature Review of Machine Learning Techniques for Dance Recognition and Robotic Vision

   2 citations · 2025
5. 5
   A Hybrid Deep Learning Model for Dance Recognition with Applications in Robotic Vision and AI Automation

   1 citations · 2025

Key Collaborators

Contact & Links