Thomas Johnson

ORCID: 0000-0003-4413-8717
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Human-Animal Interaction Studies
  • Digital Transformation in Industry
  • Robotics and Automated Systems
  • Digital Imaging in Medicine
  • Teleoperation and Haptic Systems
  • Neural dynamics and brain function
  • Computational Physics and Python Applications
  • Zoonotic diseases and public health
  • Comics and Graphic Narratives
  • Stroke Rehabilitation and Recovery
  • Ethics and Social Impacts of AI
  • Blockchain Technology Applications and Security
  • Color perception and design
  • Pain Management and Treatment
  • Surgical Simulation and Training
  • Modular Robots and Swarm Intelligence
  • Probability and Risk Models
  • Artificial Intelligence in Healthcare
  • Musculoskeletal pain and rehabilitation
  • Martial Arts: Techniques, Psychology, and Education
  • Anatomy and Medical Technology
  • Evolutionary Algorithms and Applications
  • Rabies epidemiology and control
  • Zebrafish Biomedical Research Applications
  • Privacy-Preserving Technologies in Data

University of Manchester
2020-2024

Brigham Young University
2011

Abstract Perceptual Control Theory (PCT) theorizes that a creature’s behaviour is varied so their perception can reach and maintain certain fixed limits, despite external disturbances. The distinguishing characteristic of PCT the controlled variables are inputs (perceptions, as opposed to system outputs). This paper presents first direct comparison controller for mobile robot (a two-wheeled ‘inverted pendulum’ balancing robot) with classical control method, LQR. Simulations experimental...

10.1007/s10846-020-01158-4 article EN cc-by Journal of Intelligent & Robotic Systems 2020-03-07

The rapid accumulation and release of data have fueled research across various fields. While numerous methods exist for collection storage, distribution presents challenges, as some datasets are restricted, certain subsets may compromise privacy if released unaltered. Statistical disclosure control (SDC) aims to maximize utility while minimizing the risk, i.e., risk individual identification. A key SDC method is perturbation, with General Additive Data Perturbation (GADP) Copula (CGADP)...

10.6339/25-jds1186 article EN cc-by Journal of Data Science 2025-01-01

Abstract Nuclear facilities have a regulatory requirement to measure radiation levels within Post Operational Clean Out (POCO) around nuclear each year, resulting in trend towards robotic deployments gain an improved understanding during decommissioning phases. The UK Decommissioning Authority supports the view that human‐in‐the‐loop (HITL) are solution improve procedures and reduce risks characterisation of sites. authors present novel implementation Cyber‐Physical System (CPS) deployed...

10.1049/csy2.12103 article EN cc-by IET Cyber-Systems and Robotics 2023-12-01

Abstract The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber–physical systems have improved robotic platforms this through digital twin (DT) technology. DTs enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems. primary motivation work rapidly develop evaluate a fleet interface that accounts these benefits...

10.1002/rob.22329 article EN cc-by Journal of Field Robotics 2024-04-11

The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation.Advances in cyber-physical systems have improved robotic platforms this through digital twin (DT) technology.DTs enhance situational awareness robot operators, crucial safety the sector, their value is anticipated increase with growing complexity of systems.The primary motivation work rapidly develop evaluate a fleet interface that accounts these benefits context...

10.22541/au.169046495.53097561/v3 preprint EN Authorea (Authorea) 2024-04-21
Coming Soon ...