Journal of Robotics, Automation and Smart Systems

Dr. Mojtaba Ahmadieh Khanesar is a Senior Member of IEEE and a Research Fellow at the University of Nottingham, UK. He holds B.Sc., M.Sc., and Ph.D. degrees in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran. He has held academic and research positions in Iran, Denmark, Turkey, and the United Kingdom. His research contributions span optical metrology, robotics, machine learning, AI, and control systems. He has authored or co-authored more than 130 scientific publications, including journal papers, conference papers, and two books. He has supervised PhD and MSc students, taught both undergraduate and postgraduate courses, and served in several editorial roles for international journals.

• Machine Learning
• Artificial Intelligence
• Control Systems
• Robotics
• Industrial Robot Calibration

Editorial Roles

1. Associate Editor — Human-Centric Intelligent Systems (Springer)
2. Associate Editor — Complex and Intelligent Systems (Springer)
3. Academic Editor — Complexity (Wiley-Hindawi)
4. Associate Editor — Energies (MDPI)
5. Guest Editor for multiple special issues in Energies.

Committee Memberships

1. IEEE Senior Member Elevation Committee Reviewer
2. Program Committee Member for numerous international conferences (IEEE SMC, ICINCO, FUZZ-IEEE, etc.)

Organization Activities

1. Session chair at ICINCO 2025, 2023
2. Organizing committee for AI + Engineering workshops
3. TPC Co-Chair for multiple conferences (ICCMT 2026, ICISES 2025)

Teaching & Training

1. Delivered lectures at University of Nottingham, Semnan University, DTU, and IAU
2. Leading teaching assistant for Machine Learning (Nottingham)

1. Inkjet printing of ZIF-67 based-polymer composite membranes — 2025
2. Human strategies for correcting human-robot errors during a laundry sorting task — 2025
3. Enhancing Positional Accuracy of Mechanically Modified Industrial Robots Using Laser Trackers — 2025
4. Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches — 2025
5. Adaptive lumped-mass dynamic model and its control application for continuum robots — 2024
6. Interval Type-2 Fuzzy Logic Control of Linear Stages Using Laser Interferometer — 2024
7. Neural Network Separation Approach for Inclusion of Static Friction in Industrial Robots — 2023
8. Enhancing Positional Accuracy of XY-Linear Stage Using Laser Tracker Feedback and IT2FLS — 2023
9. Precision DH Parameter Calibration Using Laser Tracker and Optimization Approaches — 2023
10. Adaptive non-singular fast terminal sliding mode control using type-2 fuzzy inference — 2023
11. Robust Sliding Mode Fuzzy Control of Industrial Robots Using EKF — 2022
12. Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Algorithm — 2021
13. Unsupervised learning for product use activity recognition — 2021
14. Electrical load prediction using IT2 Atanassov intuitionistic fuzzy system — 2021
15. Prediction interval identification using interval type-2 fuzzy logic systems — 2021
16. XOR Binary Gravitational Search Algorithm with Repository — 2020
17. Model reference fractional order control using type-2 fuzzy neural networks — 2016
18. Recurrent interval type-2 fuzzy wavelet neural network — 2020
19. Comparison between optimization algorithms for fuzzy-based control — 2019
20. Optimal control of non-smooth fractional-order systems — 2019
21. Optimal synchronization of fractional chaotic systems — 2018
22. MOSCAP compensation of three-stage operational amplifiers — 2018
23. Type-2 fuzzy elliptic membership functions for modeling uncertainty — 2018
24. Aerial robot for rice farm inspection using fuzzy neural networks — 2018
25. Proposing interval activation functions in RBF neural network — 2016
26. Improving QoS in network-based control systems — 2018
27. Novel LM learning algorithm for UAV control — 2017
28. Modeling level change in Lake Urmia using hybrid AI — 2018
29. Learning control of UAVs using fuzzy neural networks — 2017
30. Indirect model reference fuzzy control of fractional chaotic systems — 2016
31. Speed improvement in type-2 fuzzy systems type-reduction — 2016
32. Optimal parameters of ELM-based interval type-2 fuzzy system — 2018
33. Optimal allocation of fault current limiters — 2017
34. Direct MRAC fuzzy control of networked nonlinear systems — 2015
35. COOA: Competitive Optimization Algorithm — 2016
36. Review of adaptive type-2 neuro-fuzzy systems — 2016
37. Electric load forecasting using interval type-2 fuzzy system — 2016
38. Fractional order control using type-2 fuzzy neural networks — 2016
39. Adaptive indirect fuzzy sliding mode controller — 2015
40. Identification using ANFIS with hybrid stable learning — 2009
41. Force Estimation in a 6-DOF UR5 Robot Using ML Algorithms — 2025
42. Virtual Instrument for a Multi-illumination Dome System — 2025
43. Enhancing camera calibration with bee colony optimisation — 2025
44. Uncertainty analysis of an augmented industrial robot — 2023
45. High-accuracy robotic metrology for industrial tasks — 2023
46. Intelligent static calibration of industrial robots — 2023
47. Trinocular vision system for pose determination — 2022
48. Frequency scanning interferometry for accurate robot position — 2022
49. Improving Positional Accuracy of Industrial Robots — 2022
50. SVR for multi-objective parameter estimation of IT2 fuzzy systems — 2019
51. Parameter estimation for interval type-2 fuzzy networks — 2019
52. Ensemble of DBN and Bayesian aggregation — 2019
53. Binary PSO variant — 2007
54. Nonlinear system identification using type-2 recurrent wavelet networks — 2019
55. Ant colony optimization for robot programming — 2019
56. XOR Binary Gravitational Search Algorithm — 2019
57. Elliptic membership functions in type-2 fuzzy systems — 2017
58. Complexity-reduced LM algorithm for interval type-2 fuzzy systems — 2017
59. Sliding-mode type-2 fuzzy control of electro-hydraulic systems — 2017
60. Car wing active control model — 2016
61. Sliding mode fuzzy bilateral teleoperation control — 2016
62. Genetic type-2 fuzzy system for nonlinear identification — 2016
63. Bee colony optimization for interval type-2 fuzzy systems — 2016
64. Type-2 fuzzy system Maclaurin expansion — 2016
65. Adaptive direct fuzzy control of nonlinear systems — 2016
66. Fuzzy reference model for indirect control — 2016
67. Direct MR fuzzy control with observer — 2016
68. Recurrent type-2 fuzzy control of helicopter — 2016
69. Improved Karnik–Mendel algorithm — 2014
70. Training fuzzy neural networks with sliding mode theory — 2013
71. Type-2 fuzzy control of robotic arm — 2013
72. Wavelet neural network parameter estimation — 2013
73. Binary cat swarm optimization — 2013
74. Type-2 fuzzy neural networks for sliding-mode control — 2013
75. Helicopter pitch–yaw control using type-2 neural networks — 2015
76. Identification using interval fuzzy models — 2010
77. Training algorithm for type-2 fuzzy neuro systems — 2011
78. Noise reduction using novel type-2 membership functions — 2010
79. Fuzzy sliding mode control of inverted pendulum — 2007
80. Hybrid training of recurrent fuzzy neural network models — 2007