![Victor Romero Cano SMIEEE](https://profiles-cardiff.imgix.net/attachments/8785?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Victor Romero Cano
(e/fe)
SMIEEE
- Ar gael fel goruchwyliwr ôl-raddedig
Timau a rolau for Victor Romero Cano
Academaidd
Rheolwr y Labordy Cyfrifiadura a Roboteg sy'n Canolbwyntio ar Ddynol (HCCR)
Trosolwyg
Rwy'n gweithio mewn Roboteg, Deallusrwydd Artiffisial (AI) a Systemau Ymreolaethol yn gyffredinol!
Rwy'n academydd yn yr Ysgol Cyfrifiadureg a Gwybodeg ym Mhrifysgol Caerdydd, o fewn yr uned ymchwil Cyfrifiadura sy'n canolbwyntio ar ddynol . Rwy'n cyd-arwain tîm ymchwil Roboteg Gyfrifiadurol Prifysgol Caerdydd (CUCR). Mae fy ymchwil yn canolbwyntio ar hyrwyddo canfyddiad robot a thechnolegau AI ymgorfforedig i wneud systemau ymreolaethol yn hollbresennol ac yn ymarferol ddefnyddiol ar draws amgylcheddau amrywiol yn y byd go iawn.
Newyddion
[Meh. 2026] Trefnu Gweithdy 1af Caerdydd ar AI Ymgorfforedig
[Gorff 2025] Rwyf wedi cael fy nghydnabod fel Llysgennad Cynhadledd Cymru
[Gorff 2025] Trefnais y gweithdy Redefining the First and Last Miles: Can Robotics and AI Help?
[Mawrth 2025] Rwyf wedi cael fy nyrchafu i radd Uwch Aelod IEEE
[Tachwedd 2024] Rwyf wedi cael fy mhenodi'n Olygydd Cyswllt yn IEEE Robotics and Automation Letters (RA-L)
[Hydref 2024] Fe wnes i gyd-drefnu'r Gweithdy Standing the Test of Time @IROS2024
Cyhoeddiad
2026
- Silva, S. , Romero-Cano, V. and Hernandez, J. D. 2026. Social robot navigation under kinodynamic constraints using learning-informed sampling for indoor environments. IEEE Robotics and Automation Letters 11 (7), pp.9000-9007. (10.1109/LRA.2026.3699250)
- Duman, F. et al. 2026. Learning-informed motion planning toward workspace goal regions for object manipulation in constrained environments. Presented at: IEEE International Conference on Automation Science and Engineering (CASE 2026) Shenyang, China August 2026.
- He, Y. et al. 2026. Sample-efficient low-level motion planning for robotic manipulation tasks via zero-shot transfer learning. Presented at: International Conference on Artificial Neural Networks (ICANN) Padua, Italy September 14-17 2026. Lecture Notes on Artificial Intelligence (LNAI). Springer Nature.
- Patino Minan, J. et al. 2026. Learning-based object center adjustment for 3D reconstruction using an eye-in-hand robotic manipulator. Presented at: Towards Autonomous Robotics Systems Manchester, UK 7–9 September 2026.
- Patino Minan, J. J. et al. 2026. One-shot view planning and online optimization-based replanning for unknown object reconstruction. Presented at: IEEE International Conference on Robotics and Automation (ICRA) 2026 Vienna, Austria 01-05 June 2026.
2025
- Castaño-López, J. A. et al., 2025. Barrios 4D: Semi-automated morphology analysis of human settlements using mobile laser scanning. Environment and Planning B: Urban Analytics and City Science 52 (8), pp.1884-1902. (10.1177/23998083251315966)
- Llanos-Neuta, N. et al., 2025. Learning structured spatiotemporal tasks with xLSTM under uncertainty: A multi-task approach. Presented at: 12th Workshop on Engineering Applications Cali, Colombia 29–31 October 2025. Published in: Figueroa-García, J. C. et al., Applied Computer Sciences in Engineering. Communications in Computer and Information Science Vol. 2701. Springer. (10.1007/978-3-032-08203-9_20)
- Chavarria, M. A. et al., 2025. Challenges and opportunities of the human-centered design approach: case study development of an assistive device for the navigation of persons with visual impairment. JMIR Rehabilitation and Assistive Technologies 12 e70694. (10.2196/70694)
- Restrepo-Garcia, S. and Romero-Cano, V. 2025. CrazyKhoreia: a robotic perception system for MAV path planning from digital images. SN Computer Science 6 (5) 480. (10.1007/s42979-025-04015-z)
- Molina Martinez, J. D. et al., 2025. Case 4: Bucaramanga, Colombia. In: Huertas, J. I. ed. Fundamentals of Driving Patterns and Driving Cycles. Synthesis Lectures on Mechanical Engineering Cham, Switzerland: Springer Nature. , pp.139-147. (10.1007/978-3-031-76863-7_11)
- Mosquera Maturana, J. S. , Hernández, J. D. and Romero Cano, V. 2025. Sampling-based motion planning for guide robots considering user pose uncertainty. Presented at: 25th Towards Autonomous Robotic Systems (TAROS) Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems: Proceedings, Part 1. Vol. 15051.Springer. (10.1007/978-3-031-72059-8_14)
2024
- Alcala, E. and Romero Cano, V. 2024. On the human-machine gap in car racing: A comparative analysis of machine performance against human drivers. IEEE Access 12 , pp.168755-168764. (10.1109/ACCESS.2024.3497719)
- Ferro-Sánchez, C. A. et al., 2024. Machine learning for the classification of surgical patients in orthodontics. Presented at: IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering Florianópolis, Brazil 24-28 October 2022. IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering. CLAIB CBEB 2022 2022. IFMBE Proceedings, vol 99. Vol. 99.Cham: Springer. , pp.207-217. (10.1007/978-3-031-49404-8_21)
2023
- Romero Cano, V. , Vignard, N. and Laugier, C. 2023. Electronic device, system and method for augmenting image data of a passive optical sensor. US11774554B2[Patent]
- Rivero-Ortega, J. D. et al., 2023. Ring attractor bio-inspired neural network for social robot navigation. Frontiers in Neurorobotics 17 1211570. (10.3389/fnbot.2023.1211570)
- Obando-Ceron, J. S. , Romero Cano, V. and Monteiro, S. 2023. Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion. Machine Vision and Applications 34 (5) 79. (10.1007/s00138-023-01426-x)
2022
- Gomez-Ayalde, D. and Romero Cano, V. A. 2022. Local planning methods for autonomous navigation on sidewalks: a comparative survey. Presented at: ColCACI 2022: Colombian Conference on Applications of Computational Intelligence 27-29 July 2022. 2022 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI). IEEE. , pp.1-6. (10.1109/ColCACI56938.2022.9905339)
- Sierra Gonzalez, D. et al., 2022. Driving assistance method and system. US11364899B2[Patent]
- Saavedra-Ruiz, M. , Pinto-Vargas, A. M. and Romero Cano, V. 2022. Monocular visual autonomous landing system for quadcopter drones using software in the loop. IEEE Aerospace and Electronic Systems Magazine 37 (5), pp.2-16. (10.1109/MAES.2021.3115208)
- Tamayo-Monsalve, M. A. et al., 2022. Coffee maturity classification using convolutional neural networks and transfer learning. IEEE Access 10 , pp.42971-42982. (10.1109/ACCESS.2022.3166515)
2021
- Salazar, G. , Saavedra, M. and Romero Cano, V. 2021. High-level camera-LiDAR fusion for 3D object detection with machine learning. [Online].ArXiv: Cornell University. (10.48550/arXiv.2105.11060)Available at: https://doi.org/10.48550/arXiv.2105.11060.
2020
- Mercado Rivera, F. J. , Rojas Arciniegas, A. J. and Romero Cano, V. A. 2020. Probabilistic motion inference for fused filament fabrication. NIP & Digital Fabrication Conference 36 (1), pp.85-91. art00016_1. (10.2352/issn.2169-4451.2020.36.85)
2019
- Erkent, O. et al., 2019. Semantic grid estimation with a hybrid Bayesian and deep neural network approach. Presented at: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Madrid, Spain 1-5 October 2018. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.888-895. (10.1109/IROS.2018.8593434)
2018
- Gonzalez, D. S. et al., 2018. Modeling driver behavior from demonstrations in dynamic environments using spatiotemporal lattices. Presented at: 2018 IEEE International Conference on Robotics and Automation (ICRA) Brisbane, Australia 21-25 May 2018. IEEE International Conference on Robotics and Automation (ICRA). IEEE. (10.1109/ICRA.2018.8460208)
2017
- Romero Cano, V. , Vignard, N. and Laugier, C. 2017. XDvision: Dense outdoor perception for autonomous vehicles. Presented at: 28th IEEE Intelligent Vehicles Symposium 11-14 June 2017. 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE. , pp.752-757. (10.1109/IVS.2017.7995807)
2015
- Romero-Cano, V. , Agamennoni, G. and Nieto, J. 2015. A variational approach to simultaneous multi-object tracking and classification. International Journal of Robotics Research 35 (6), pp.654-671. (10.1177/0278364915583881)
- Romero Cano, V. 2015. Simultaneous multi-object tracking and classification via approximate variational inference. PhD Thesis , The University of Sydney.
2014
- Romero Cano, V. , Agamennoni, G. and Nieto, J. 2014. A variational approach to simultaneous tracking and classification of multiple objects. Presented at: 17th International Conference on Information Fusion Salamanca 7-10th July 2014. 17th International Conference on Information Fusion (FUSION). IEEE. , pp.1-8.
2011
- Romero Cano, V. and Costa, O. 2011. Map merging strategies for multi-robot FastSLAM: a comparative survey. Presented at: 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting Sao Bernardo do Campo, Brazil 23-28 October 2010. Proceedings 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting. IEEE. , pp.61-66. (10.1109/lars.2010.20)
Articles
- Silva, S. , Romero-Cano, V. and Hernandez, J. D. 2026. Social robot navigation under kinodynamic constraints using learning-informed sampling for indoor environments. IEEE Robotics and Automation Letters 11 (7), pp.9000-9007. (10.1109/LRA.2026.3699250)
- Castaño-López, J. A. et al., 2025. Barrios 4D: Semi-automated morphology analysis of human settlements using mobile laser scanning. Environment and Planning B: Urban Analytics and City Science 52 (8), pp.1884-1902. (10.1177/23998083251315966)
- Chavarria, M. A. et al., 2025. Challenges and opportunities of the human-centered design approach: case study development of an assistive device for the navigation of persons with visual impairment. JMIR Rehabilitation and Assistive Technologies 12 e70694. (10.2196/70694)
- Restrepo-Garcia, S. and Romero-Cano, V. 2025. CrazyKhoreia: a robotic perception system for MAV path planning from digital images. SN Computer Science 6 (5) 480. (10.1007/s42979-025-04015-z)
- Alcala, E. and Romero Cano, V. 2024. On the human-machine gap in car racing: A comparative analysis of machine performance against human drivers. IEEE Access 12 , pp.168755-168764. (10.1109/ACCESS.2024.3497719)
- Rivero-Ortega, J. D. et al., 2023. Ring attractor bio-inspired neural network for social robot navigation. Frontiers in Neurorobotics 17 1211570. (10.3389/fnbot.2023.1211570)
- Obando-Ceron, J. S. , Romero Cano, V. and Monteiro, S. 2023. Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion. Machine Vision and Applications 34 (5) 79. (10.1007/s00138-023-01426-x)
- Saavedra-Ruiz, M. , Pinto-Vargas, A. M. and Romero Cano, V. 2022. Monocular visual autonomous landing system for quadcopter drones using software in the loop. IEEE Aerospace and Electronic Systems Magazine 37 (5), pp.2-16. (10.1109/MAES.2021.3115208)
- Tamayo-Monsalve, M. A. et al., 2022. Coffee maturity classification using convolutional neural networks and transfer learning. IEEE Access 10 , pp.42971-42982. (10.1109/ACCESS.2022.3166515)
- Mercado Rivera, F. J. , Rojas Arciniegas, A. J. and Romero Cano, V. A. 2020. Probabilistic motion inference for fused filament fabrication. NIP & Digital Fabrication Conference 36 (1), pp.85-91. art00016_1. (10.2352/issn.2169-4451.2020.36.85)
- Romero-Cano, V. , Agamennoni, G. and Nieto, J. 2015. A variational approach to simultaneous multi-object tracking and classification. International Journal of Robotics Research 35 (6), pp.654-671. (10.1177/0278364915583881)
Book sections
- Molina Martinez, J. D. et al., 2025. Case 4: Bucaramanga, Colombia. In: Huertas, J. I. ed. Fundamentals of Driving Patterns and Driving Cycles. Synthesis Lectures on Mechanical Engineering Cham, Switzerland: Springer Nature. , pp.139-147. (10.1007/978-3-031-76863-7_11)
Conferences
- Duman, F. et al. 2026. Learning-informed motion planning toward workspace goal regions for object manipulation in constrained environments. Presented at: IEEE International Conference on Automation Science and Engineering (CASE 2026) Shenyang, China August 2026.
- He, Y. et al. 2026. Sample-efficient low-level motion planning for robotic manipulation tasks via zero-shot transfer learning. Presented at: International Conference on Artificial Neural Networks (ICANN) Padua, Italy September 14-17 2026. Lecture Notes on Artificial Intelligence (LNAI). Springer Nature.
- Patino Minan, J. et al. 2026. Learning-based object center adjustment for 3D reconstruction using an eye-in-hand robotic manipulator. Presented at: Towards Autonomous Robotics Systems Manchester, UK 7–9 September 2026.
- Patino Minan, J. J. et al. 2026. One-shot view planning and online optimization-based replanning for unknown object reconstruction. Presented at: IEEE International Conference on Robotics and Automation (ICRA) 2026 Vienna, Austria 01-05 June 2026.
- Llanos-Neuta, N. et al., 2025. Learning structured spatiotemporal tasks with xLSTM under uncertainty: A multi-task approach. Presented at: 12th Workshop on Engineering Applications Cali, Colombia 29–31 October 2025. Published in: Figueroa-García, J. C. et al., Applied Computer Sciences in Engineering. Communications in Computer and Information Science Vol. 2701. Springer. (10.1007/978-3-032-08203-9_20)
- Mosquera Maturana, J. S. , Hernández, J. D. and Romero Cano, V. 2025. Sampling-based motion planning for guide robots considering user pose uncertainty. Presented at: 25th Towards Autonomous Robotic Systems (TAROS) Conference London, UK 21-23 August 2024. Published in: Huda, M. N. , Wang, M. and Kalganova, T. eds. Towards Autonomous Robotic Systems: Proceedings, Part 1. Vol. 15051.Springer. (10.1007/978-3-031-72059-8_14)
- Ferro-Sánchez, C. A. et al., 2024. Machine learning for the classification of surgical patients in orthodontics. Presented at: IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering Florianópolis, Brazil 24-28 October 2022. IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering. CLAIB CBEB 2022 2022. IFMBE Proceedings, vol 99. Vol. 99.Cham: Springer. , pp.207-217. (10.1007/978-3-031-49404-8_21)
- Gomez-Ayalde, D. and Romero Cano, V. A. 2022. Local planning methods for autonomous navigation on sidewalks: a comparative survey. Presented at: ColCACI 2022: Colombian Conference on Applications of Computational Intelligence 27-29 July 2022. 2022 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI). IEEE. , pp.1-6. (10.1109/ColCACI56938.2022.9905339)
- Erkent, O. et al., 2019. Semantic grid estimation with a hybrid Bayesian and deep neural network approach. Presented at: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Madrid, Spain 1-5 October 2018. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. , pp.888-895. (10.1109/IROS.2018.8593434)
- Gonzalez, D. S. et al., 2018. Modeling driver behavior from demonstrations in dynamic environments using spatiotemporal lattices. Presented at: 2018 IEEE International Conference on Robotics and Automation (ICRA) Brisbane, Australia 21-25 May 2018. IEEE International Conference on Robotics and Automation (ICRA). IEEE. (10.1109/ICRA.2018.8460208)
- Romero Cano, V. , Vignard, N. and Laugier, C. 2017. XDvision: Dense outdoor perception for autonomous vehicles. Presented at: 28th IEEE Intelligent Vehicles Symposium 11-14 June 2017. 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE. , pp.752-757. (10.1109/IVS.2017.7995807)
- Romero Cano, V. , Agamennoni, G. and Nieto, J. 2014. A variational approach to simultaneous tracking and classification of multiple objects. Presented at: 17th International Conference on Information Fusion Salamanca 7-10th July 2014. 17th International Conference on Information Fusion (FUSION). IEEE. , pp.1-8.
- Romero Cano, V. and Costa, O. 2011. Map merging strategies for multi-robot FastSLAM: a comparative survey. Presented at: 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting Sao Bernardo do Campo, Brazil 23-28 October 2010. Proceedings 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting. IEEE. , pp.61-66. (10.1109/lars.2010.20)
Patents
- Romero Cano, V. , Vignard, N. and Laugier, C. 2023. Electronic device, system and method for augmenting image data of a passive optical sensor. US11774554B2[Patent]
- Sierra Gonzalez, D. et al., 2022. Driving assistance method and system. US11364899B2[Patent]
Thesis
- Romero Cano, V. 2015. Simultaneous multi-object tracking and classification via approximate variational inference. PhD Thesis , The University of Sydney.
Websites
- Salazar, G. , Saavedra, M. and Romero Cano, V. 2021. High-level camera-LiDAR fusion for 3D object detection with machine learning. [Online].ArXiv: Cornell University. (10.48550/arXiv.2105.11060)Available at: https://doi.org/10.48550/arXiv.2105.11060.
Bywgraffiad
Wedi'i eni yn Palmira, Colombia, rwyf wedi gweithio mewn roboteg a Dysgu Peiriant (ML) ers dros ddegawd. Astudiais beirianneg mecatroneg yn Universidad Autónoma de Occidente (UAO) yn Cali Colombia. Yn 2008, symudais i Brasil, lle dilynais MSc mewn peirianneg drydanol gyda ffocws ar beirianneg systemau yn Ysgol Polytechnig Prifysgol São Paulo. Ar gyfer traethawd hir fy meistr, ac o dan oruchwyliaeth Oswaldo Luiz do Valle Costa, datblygais algorithmau ar gyfer creu cynrychioliadau digidol o amgylcheddau coed-boblog o ddata laser 2D a gasglwyd gan dîm o robotiaid symudol. Yn 2011, symudais i Awstralia ac ymunais â Chanolfan Roboteg Awstralia a Chanolfan Awtomeiddio Mwynglawdd Rio Tinto (RTCMA) ym Mhrifysgol Sydney, lle dilynais fy astudiaethau doethurol diolch i ysgoloriaeth a ddarparwyd gan y cawr mwyngloddio Rio Tinto. Yn ystod fy Ph.D. ac o dan oruchwyliaeth Juan I Nieto a Gabriel Agamennoni, datblygais dechnolegau ar gyfer canfod, olrhain a dosbarthu gwrthrychau mewn amgylcheddau deinamig cymhleth trwy fanteisio ar natur aml-foddol data stereo-weledol.
Yn 2015, ar ôl cwblhau fy PhD, fe wnes i barhau â'm cysylltiad â RTCMA i ddatblygu technegau System Gwybodaeth Ddaearyddol (GIS) a ML ar gyfer dadansoddi awtomatig a darganfod patrymau yn nhalaith weithredol a thraffig mwyngloddiau Rio Tinto. Yn 2016, symudais i Ffrainc i weithio fel ymchwilydd ôl-ddoethurol, o fewn y Robot Navigation Robot Cydweithredol a Dynol-ymwybodol mewn Amgylcheddau Dynamig Tîm (CHROMA) ar brosiect ar y cyd rhwng Toyota Motor Europe ac Inria Grenoble, dan oruchwyliaeth Christian Laugier. Nod fy nghyfraniadau oedd datblygu technolegau adnabod gwrthrychau Camera-LiDAR ar gyfer cymwysiadau gyrru trefol. Gweithiais ar asio data delwedd a laser ar gyfer gwell adnabyddiaeth gwrthrychau yng nghyd-destun canfyddiad trefol o lwyfannau symudol, gan ysgogi gwaith mapio grid meddiannaeth y tîm, ynghyd â dulliau PGM a Dysgu Dwfn. Rwyf hefyd wedi cydweithio â'r tîm ar brosiectau sy'n canolbwyntio ar wneud penderfyniadau.
Yn 2017 ymunais â'r Gyfadran Peirianneg Universidad Autónoma de Occidente (UAO), Colombia, fel roboteg ac athro dysgu peirianydd. Wynebais yr heriau o adeiladu labordy roboteg o'r gwaelod i fyny, a dylunio roboteg gyfoes a modiwlau canfyddiad roboteg a oedd yn caniatáu i fyfyrwyr peirianneg ddatblygu llwybr gyrfa gyda phwyslais ar agweddau cyfrifiadurol roboteg. O ganlyniad, yn ystod fy pum mlynedd yn UAO, arweiniais sefydlu labordy Roboteg a Systemau Ymreolaethol y brifysgol. Yn 2019, diolch i Weinyddiaeth Amaeth a Choedwigaeth Gweriniaeth Twrci, treuliais fis yn Izmir, Twrci fel Gwyddonydd Gwahoddedig yn y Sefydliad Ymchwil Olewydd yn gweithio ar ffenoteipio planhigion gan ddefnyddio gweledigaeth gyfrifiadurol. Yn 2022 a 2023, gweithiais yn yr Adran Ymchwil a Datblygu Gyrru Ymreolaethol yn Rimac Technology, cwmni o Croatia sy'n dylunio, peirianwyr, ac yn cynhyrchu cydrannau a systemau cerbydau trydan perfformiad uchel. Yn fy rôl fel rheolwr AI / Canfyddiad, arweiniais dîm yn gweithio ar ddysgu peiriant wedi'i fewnosod a thechnegau canfyddiad aml-synhwyrydd ar gyfer monitro amgylchedd a gyrwyr. Cydweithiodd yn agos hefyd ag ymchwilwyr rheoli cynnig a ffactorau dynol. Rwyf wedi bod yn Ddarlithydd yn yr Ysgol Cyfrifiadureg a Gwybodeg, o fewn yr uned ymchwil cyfrifiadura sy'n canolbwyntio ar bobl , ers mis Chwefror 2024.
Aelodaethau proffesiynol
Rwy'n uwch aelod o IEEE a'i Gymdeithas Roboteg ac Awtomeiddio.
Pwyllgorau ac adolygu
- Rwy'n gwasanaethu fel Golygydd Cyswllt (AE) ar gyfer IEEE Robotics and Automation Letters.
- Rwyf wedi gwasanaethu fel AE ar gyfer Cynhadledd Ryngwladol IEEE / RSJ ar Robotiaid a Systemau Deallus (IROS) yn 2021, 2022, 2024 a 2025.
- Rwyf wedi gwasanaethu fel adolygydd ar gyfer IROS, Cynhadledd Ryngwladol IEEE ar Roboteg ac Awtomeiddio (ICRA), IEEE
Symposiwm Cerbydau Deallus (IV), Cynhadledd Ryngwladol IEEE ar Systemau Trafnidiaeth Ddeallus (ITSC), Llythyrau Roboteg ac Awtomeiddio IEEE (RAL) a Chyfnodolyn Rhyngwladol Roboteg Gymdeithasol Springer (IJSR).
Meysydd goruchwyliaeth
Mae gennyf ddiddordeb mewn goruchwylio myfyrwyr PhD yn y meysydd canlynol:
- Cynrychioliadau a modelau byd ar gyfer systemau ymreolaethol
- AI gofodol ac ymgorfforedig
- Canfyddiad robot a gwneud penderfyniadau
- Rhagfynegiad symudiad wedi'i gyplysu a chynllunio robot.
- Ymasiad aml-synhwyrydd ar gyfer cymwysiadau roboteg a synhwyro o bell
- Roboteg maes ac amaethyddol
- Algorithmau wedi'u hychwanegu at ddysgu
- Goblygiadau moesegol a chymdeithasol roboteg
- Gyrru ymreolaethol
Goruchwyliaeth gyfredol
Contact Details
Themâu ymchwil
Arbenigeddau
- Roboteg
- Deallusrwydd artiffisial