Marvin K. Bugeja

About

Marvin K. Bugeja is a prominent robotics and intelligent systems researcher whose work spans adaptive control, multi-robot systems, and brain-computer interfaces. He is perhaps best known for his pioneering contributions to neural network-based adaptive dynamic control of nonholonomic mobile robots, with his 2008 paper on dual adaptive neural control schemes accumulating over 107 citations — a landmark contribution that addressed the challenging problem of trajectory tracking under unknown nonlinear dynamics using both radial basis function and multilayer perceptron architectures. His 2007 and 2006 precursor works further cemented his reputation in this specialized field. Beyond control theory, Bugeja has demonstrated remarkable breadth, authoring an influential 2017 review of multi-robot systems categorized by application domain (85 citations), which has become a key reference for researchers entering the field. His more recent 2022 comprehensive review of EEG-based brain-computer interfaces for device control (57 citations) signals a compelling expansion into neurotechnology and assistive systems. Additional contributions encompass autonomous exploration, energy-aware coverage control, vision-based target tracking, and even teleoperated robotics training simulators for high-stakes environments like CERN. Across his career, Bugeja has consistently bridged theoretical rigor with real-world experimental validation, making his work both academically influential and practically relevant.

Research Focus

Key Achievements

Top Papers

1. 1
   Dual Adaptive Dynamic Control of Mobile Robots Using Neural Networks

   107 citations · 2008
2. 2
   A review on multi-robot systems categorised by application domain

   85 citations · 2017
3. 3
   A Comprehensive Review of Endogenous EEG-Based BCIs for Dynamic Device Control

   57 citations · 2022
4. 4
   Dual Adaptive Control for Trajectory Tracking of Mobile Robots

   18 citations · 2007
5. 5
   Double Exponential Smoothing for predictive vision based target tracking of a wheeled mobile robot

   11 citations · 2013
6. 6
   Multilayer Perceptron Adaptive Dynamic Control for Trajectory Tracking of Mobile Robots

   9 citations · 2006
7. 7
   Autonomous Exploration and Mapping using a Mobile Robot Running ROS

   7 citations · 2016
8. 8
   Multi-robot energy-aware coverage control in the presence of time-varying importance regions

   6 citations · 2020
9. 9
   Multilayer Perceptron Adaptive Dynamic Control of Mobile Robots: Experimental Validation

   5 citations · 2008
10. 10
    A Training Simulator for Teleoperated Robots Deployed at CERN

    4 citations · 2018

Key Collaborators

Contact & Links