Contact Dr Gilbert Tang
- Tel: +44 (0) 1234 754554
- Email: g.tang@cranfield.ac.uk
- Twitter: @DrGilbertTang
- ORCID
Areas of expertise
- Aerospace Manufacturing
- Aerospace Structures
- Autonomous Systems
- Computing, Simulation & Modelling
- Industrial Automation
- Manufacturing Systems
- Mechatronics & Advanced Controls
- Product and Service Design
- Sensor Technologies
Background
Dr Gilbert Tang is a Senior Lecturer in Robotics and is the Course Director of the Robotics MSc. He is also the Robotics Course Lead at MK:U. He has been conducting robotics research at Cranfield University for over 13 years, particularly related to large-scale robot system development, intuitive human-robot interface, human-robot collaboration, and service robotics. Gilbert has been the project lead for a number of industrial research projects delivering automated production solutions at the mid-Technology Readiness Level (TRL) to leading aerospace manufacturers. He has led the development and launch of the Robotics MSc Course for Cranfield University and BEng in Robotics for the MK;U. He has taught and supervised at Master's and Doctoral levels and is a reviewer of publications and research proposals related to robotics.
Gilbert is a Chartered Engineer and Member of the Institution of Mechanical Engineers. He is a Fellow of the Higher Education Academy. He is also the Academic Representative at BARA (British Automation & Robot Association).
Research opportunities
Gilbert's research interests:
- Industrial automation
- Safety in collaborative robots
- Human-robot collaboration
- Artificial Intelligence for human-robot interaction
- Robot system design
- Intuitive human-robot interface
- Automated aircraft assembly
- Metrology assisted aircraft assembly
PhD research opportunities available in the following research areas:
- Multi-modal human-robot interaction
- Intuitive human-robot interface
- Soft robotics for interactive systems
- AI in human-robot interaction
- Service robotics
- Robots for harsh environment
Clients
Airbus (UK)
BAE Systems
GKN
MTC
Ocado
Rolls Royce
Westfield Technology Group
University Hospital Birmingham
GBR Rail
Network Rail
Publications
Articles In Journals
- Adiuku N, Avdelidis NP, Tang G & Plastropoulos A. (2024). Advancements in Learning-Based Navigation Systems for Robotic Applications in MRO Hangar: Review. Sensors, 24(5)
- Adiuku N, Avdelidis NP, Tang G, Plastropoulos A & Diallo Y. (2024). Mobile Robot Obstacle Detection and Avoidance with NAV-YOLO. International Journal of Mechanical Engineering and Robotics Research, 13(2)
- Bordoni S & Tang G. (2023). Development and assessment of a contactless 3D joystick approach to industrial manipulator gesture control. International Journal of Industrial Ergonomics, 93(January)
- Soemantoro R, Kardos A, Tang G & Zhao Y. (2023). An AI-powered navigation framework to achieve an automated acquisition of cardiac ultrasound images. Scientific Reports, 13(1)
- Story M, Webb P, Fletcher SR, Tang G, Jaksic C, .... (2022). Do Speed and Proximity Affect Human-Robot Collaboration with an Industrial Robot Arm?. International Journal of Social Robotics, 14(4)
- Story M, Jaksic C, Fletcher SR, Webb P, Tang G, .... (2021). Evaluating the use of human aware navigation in industrial robot arms. Paladyn, Journal of Behavioral Robotics, 12(1)
- Tang G, Webb P & Thrower J. (2019). The development and evaluation of Robot Light Skin: A novel robot signalling system to improve communication in industrial human–robot collaboration. Robotics and Computer-Integrated Manufacturing, 56
- Tang G & Webb P. (2018). The Design and Evaluation of an Ergonomic Contactless Gesture Control System for Industrial Robots. Journal of Robotics, 2018
- Tang G, Asif S & Webb P. (2015). The integration of contactless static pose recognition and dynamic hand motion tracking control system for industrial human and robot collaboration. Industrial Robot: An International Journal, 42(5)
- Adiuku N, Avdelidis NP, Tang G & Plastropoulos A. Improved Hybrid Model for Obstacle Detection and Avoidance in Robot Operating System Framework (Rapidly Exploring Random Tree and Dynamic Windows Approach). Sensors, 24(7)
Conference Papers
- Yildirim S, Rana ZA & Tang G. (2023). Development of Vision Guided Real-Time Trajectory Planning System for Autonomous Ground Refuelling Operations using Hybrid Dataset
- Adiuku N, Avdelidis NP, Tang G, Plastropoulos A & Perinpanayagam S. (2023). CNN-fusion architecture with visual and thermographic images for object detection
- Mansakul T, Fan I-S & Tang G. (2023). Navigation for a mobile robot to inspect aircraft
- Kuang B, Barnes S, Tang G & Jenkins K. (2023). A Dataset for Autonomous Aircraft Refueling on the Ground (AGR)
- Castaing H, Tang G, Chacin M & Bonnefoi F. (2023). Application of Model-Based System Engineering to a Planetary Rover Design
- de los Mozos IC & Tang G. (2023). Design and Control of a 7-degree-of-freedom Symmetric Manipulator Module for In-Orbit Operations
- Bhadani S, Dillikar SR, Pradhan ON, Cotrina de los Mozos I, Felicetti L, .... (2023). A ROS-based simulation and control framework for in-orbit multi-arm robot assembly operations
- Martin A & Tang G. (2022). Tether-Based Localisation System for Underwater Robots
- Yildirim S, Rana Z & Tang G. (2021). Autonomous Ground Refuelling Approach for Civil Aircrafts using Computer Vision and Robotics
- Johnson T, Tang G, Fletcher SR & Webb P. (2016). Investigating the Effects of Signal Light Position on Human Workload and Reaction Time in Human-Robot Collaboration Tasks
- Tang G, Charalambous G, Webb P & Fletcher S. (2014). Users’ understanding of industrial robot gesture motions and effects on trust
Books
- Petrunin I & Tang G. (2023). Chapter 21 Sensors for aerial, automotive, and robotic applications In Advanced Sensor Technology. Elsevier.
- Petrunin I & Tang G. (2023). Sensors for aerial, automotive, and robotic applications In Advanced Sensor Technology. Elsevier.
- Petrunin I & Tang G. (2022). Sensors for aerial, automotive, and robotic applications In Barhoum A & Altintas Z (eds), Advanced Sensor Technology: Biomedical, Environmental, and Construction Applications. Elsevier.
- Barattini P, Federico V, Virk GS & Haidegger T. (2019). Human–Robot Interaction In Barattini P, Vicentini F, Virk GS & Haidegger T (eds), Human-Robot Interaction: Safety, Standardization, and Benchmarking. Chapman and Hall/CRC.
