Exploiting bacteria swarms for pollution mapping. - John Oluwagbemiga Oyekan; Huosheng Hu; Dongbing Gu (ROBIO, 2009)

Bacteria controller implementation on a physical platform for pollution monitoring. - John Oluwagbemiga Oyekan; Huosheng Hu (ICRA, 2010)

Exploiting bacterial swarms for optimal coverage of dynamic pollutant profiles. - John Oluwagbemiga Oyekan; Huosheng Hu; Dongbing Gu (ROBIO, 2010)

Bio-Inspired Coverage of Invisible Hazardous Substances in the Environment. - John Oluwagbemiga Oyekan; Huosheng Hu; Dongbing Gu (Int. J. Inf. Acquis., 2010)

Towards a Multi-peclet Number Pollution Monitoring Algorithm. - John Oluwagbemiga Oyekan; Dongbing Gu; Huosheng Hu (ICIRA (2), 2011)

Towards distributed coverage of complex spatiotemporal profiles. - John Oluwagbemiga Oyekan; Huosheng Hu (ROBIO, 2011)

Mobile sensor networks for modelling environmental pollutant distribution. - Bowen Lu; John Oluwagbemiga Oyekan; Dongbing Gu; Huosheng Hu; Hossein Farid Ghassem Nia (Int. J. Syst. Sci., 2011)

Visualisation of invisible substances using unicellular swarm intelligence. - John Oluwagbemiga Oyekan (2012)

Stochastic ant agent for priority-based coverage. - John Oyekan; Dongbing Gu; Huosheng Hu (AIM, 2013)

A creative computing approach to 3D robotic simulator for water pollution monitoring. - John Oyekan; Bowen Lu; Huosheng Hu (Int. J. Creative Comput., 2013)

Integrated Sensing Techniques for Assistive Chairs: A Survey towards Sit-to-Stand Problems. - Hang Lu; Dayou Li; John Oyekan; Carsten Maple (Int. J. Intell. Mechatronics Robotics, 2013)

Ant Robotic Swarm for Visualizing Invisible Hazardous Substances. - John Oluwagbemiga Oyekan; Huosheng Hu (Robotics, 2013)

Visual Imaging of Invisible Hazardous Substances Using Bacterial Inspiration. - John Oluwagbemiga Oyekan; Dongbing Gu; Huosheng Hu (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Biologically-inspired behaviour based robotics for making invisible pollution visible: a survey. - John Oluwagbemiga Oyekan; Huosheng Hu (Adv. Robotics, 2014)

K-Order Surrounding Roadmaps Path Planner for Robot Path Planning. - Yueqiao Li; Dayou Li; Carsten Maple; Yong Yue 001; John Oyekan (J. Intell. Robotic Syst., 2014)

A vision-based terrain morphology estimation model inspired by the avian hippocampus. - John Oyekan (Digit. Commun. Networks, 2015)

Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing. - Windo Hutabarat; John Oyekan; Christopher Turner 001; Ashutosh Tiwari 001; Neha Prajapat; Xiao-Peng Gan; Anthony Waller (WSC, 2016)

Bio-Inspired Vision-Based Leader-Follower Formation Flying in the Presence of Delays. - John Oyekan (Robotics, 2016)

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends. - Christopher Turner 001; Windo Hutabarat; John Oyekan; Ashutosh Tiwari 001 (IEEE Trans. Hum. Mach. Syst., 2016)

Ergonomic Assessment Tool for Real-Time Risk Assessment of Seated Work Postures. - Chika Edith Mgbemena; Ashutosh Tiwari 001; Yuchun Xu; John Oyekan; Windo Hutabarat (AHFE (20), 2017)

Remote real-time collaboration through synchronous exchange of digitised human-workpiece interactions. - John Oyekan; Vinayak Prabhu; Ashutosh Tiwari 001; Vinubha Baskaran; Mark Burgess; Rob Mcnally (Future Gener. Comput. Syst., 2017)

Towards Data-Driven Cyber Attack Damage and Vulnerability Estimation for Manufacturing Enterprises. - Vinayak Prabhu; John Oyekan; Simon Eng; Lim Eng Woei; Ashutosh Tiwari 001 (REV, 2018)

Applying Deep Reinforcement Learning to Cable Driven Parallel Robots for Balancing Unstable Loads: A Ball Case Study. - Alex Grimshaw; John Oyekan (Frontiers Robotics AI, 2020)

Using Therbligs to embed intelligence in workpieces for digital assistive assembly. - John Oyekan; Windo Hutabarat; Christopher Turner 001; C. Arnoult; Ashutosh Tiwari 001 (J. Ambient Intell. Humaniz. Comput., 2020)

Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul. - John Oyekan; Michael Farnsworth; Windo Hutabarat; David Miller 003; Ashutosh Tiwari 001 (Sensors, 2020)

Multi-Objective Optimisation of Robotic Active Particle Swarms for Continuous Repair of Large Scale High Value Structures. - John Oyekan (CEC, 2021)

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing. - Christopher Turner 001; Ruidong Ma; Jingyu Chen; John Oyekan (IEEE Access, 2021)

Attention Augmented Convolutional Neural Network for acoustics based machine state estimation. - Jiannan Tan; John Oyekan (Appl. Soft Comput., 2021)

A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks. - John Oyekan; Windo Hutabarat; Christopher Turner 001; Ashutosh Tiwari 001; Hongmei He; Raymon Gompelman (Sensors, 2021)

Decentralised aerial swarm for adaptive and energy efficient transport of unknown loads. - Kangyao Huang; Jingyu Chen; John Oyekan (Swarm Evol. Comput., 2021)

Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities. - Christopher Turner 001; John Oyekan; Lampros K. Stergioulas; David Griffin 007 (IEEE Trans. Ind. Informatics, 2021)

Counting assistant through multi-sensor fusion for inventory monitoring. - Ruofan Lin; Ashutosh Tiwari 001; John Oyekan (ICAC, 2022)

Circular production and maintenance of automotive parts: An Internet of Things (IoT) data framework and practice review. - Christopher Turner 001; Okechukwu S. Okorie; Christos Emmanouilidis; John Oyekan (Comput. Ind., 2022)

Editorial: Applying robotics and AI in pandemics (COVID-19): Detection, diagnosis and delivery. - Bin Fang; Hang Su; John Oyekan (Frontiers Robotics AI, 2022)

Behavioural Swarm Optimisation for Stable Slung-Load Aerial Transportation. - Jingyu Chen; John Oyekan (CEC, 2023)

An Improved Hybrid Multi-Objective Particle Swarm Optimization to Enhance Convergence and Diversity. - Nazrul Islam; John Oyekan (GECCO Companion, 2023)

Graph-based semantic planning for adaptive human-robot-collaboration in assemble-to-order scenarios. - Ruidong Ma; Jingyu Chen; John Oyekan (RO-MAN, 2023)

A learning from demonstration framework for adaptive task and motion planning in varying package-to-order scenarios. - Ruidong Ma; Jingyu Chen; John Oyekan (Robotics Comput. Integr. Manuf., 2023)

A deep multi-agent reinforcement learning framework for autonomous aerial navigation to grasping points on loads. - Jingyu Chen; Ruidong Ma; John Oyekan (Robotics Auton. Syst., 2023)

Applying Deep Neural Networks to automate visual verification of manual bracket installations in aerospace. - John Oyekan; Liam Quantrill; Christopher Turner 001; Ashutosh Tiwari 001 (CoRR, 2024)

Applying vision-guided graph neural networks for adaptive task planning in dynamic human robot collaborative scenarios. - Ruidong Ma; Yanan Liu; Erich W. Graf; John Oyekan (Adv. Robotics, 2024)

Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding. - Jingming Xia; Guanqun Cao; Guang Ma; Yiben Luo; Qinzhao Li; John Oyekan (TAROS, 2025)

Data Augmentation Framework for Improved Classification in Object Detectors. - Ioan-Alexandru Herdea; Divya Tiwari; John Oyekan; Ashutosh Tiwari 001 (IEEE Access, 2025)

A meta-reinforcement learning method for adaptive payload transportation with variations. - Jingyu Chen; Ruidong Ma; Meng Xu; Fethi Candan; Lyudmila Mihaylova; John Oyekan (Neurocomputing, 2025)

Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models. - Guanqun Cao; Ryan Mckenna; John Oyekan (CoRR, 2025)

Applying Ontologies and Knowledge Augmented Large Language Models to Industrial Automation: A Decision-Making Guidance for Achieving Human-Robot Collaboration in Industry 5.0. - John Oyekan; Christopher Turner 001; Michael Bax; Erich W. Graf (CoRR, 2025)

Scalable Plug-and-Play Robotic Fabrics Based on Kilobot Modules. - Stanley C. Obilikpa; Mohamed S. Talamali; Genki Miyauchi; John Oyekan; Roderich Groß (IEEE Robotics Autom. Lett., 2025)