CDT Student Publications

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Grzegorz Sochacki

• Sochacki, G., Zhang, X., Abdulali, A., & Iida, F. (2024). Towards practical robotic chef: Review of relevant work and future challenges. Journal of Field Robotics, https://doi.org/10.1002/rob.22321
• Sochacki, G., Abdulali, A., Hosseini, N. K., & Iida, F. (2023). Recognition of human chef’s intentions for incremental learning of cookbook by robotic salad chef. IEEE Access, 11, 57006-57020, doi: 10.1109/ACCESS.2023.3276234
• Sochacki, G., Abdulali, A., Cheke, L., & Iida, F. (2023, October). Theoretical Framework for Human-Like Robotic Taste with Reference to Nutritional Needs. In IOP Conference series: Materials science and engineering (Vol. 1292, No. 1, p. 012017). IOP Publishing, doi: 10.1088/1757-899X/1292/1/012017
• Shi, J., Abdulali, A., Sochacki, G., & Iida, F. (2023, September). Closed-Loop Robotic Cooking of Soups with Multi-modal Taste Feedback. In Annual Conference Towards Autonomous Robotic Systems (pp. 51-62). Cham: Springer Nature Switzerland, doi: 10.1007/978-3-031-43360-3_5
• Sochacki, G., Abdulali, A., and Iida, F. (2022) ‘Mastication-Enhanced Taste-Based Classification of Multi-Ingredient Dishes for Robotic Cooking’, Frontiers in Robotics and AI-Bio-Inspired Robotics, doi:10.3389/frobt.2022.886074.
• Sochacki, G., Hughes, J., and Iida, F. (2022) ‘Sensorized Compliant Robot Gripper for Estimating the Cooking Time of Boil-Cooked Vegetables’, Intelligent Autonomous Systems 16 (IAS 2021), doi:10.1007/978-3-030-95892-3_17.
• Sochacki, G., Hughes, J., Hauser, S., & Iida, F. (2021, September). Closed-loop robotic cooking of scrambled eggs with a salinity-based ‘taste’sensor. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 594-600). IEEE.

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Elijah Almanzor

• Almanzor, E., Sugiyama, T., Abdulali, A., Hayashibe, M., & Iida, F. (2024). Utilising redundancy in musculoskeletal systems for adaptive stiffness and muscle failure compensation: a model-free inverse statics approach. Bioinspiration & Biomimetics, doi:10.1088/1748-3190/ad5129

• Potdar, P., Hardman, D., Almanzor, E., & Iida, F. (2024). High-Speed Tactile Braille Reading via Biomimetic Sliding Interactions. IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3356978

• Iida, F., Maiolino, P., Abdulali, A., & Wang, M. (Eds.). (2023). Towards Autonomous Robotic Systems: 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13–15, 2023, Proceedings (Vol. 14136). Springer Nature, https://doi.org/10.1007/978-3-031-43360-3

• Costi, L., Almanzor, E., Scimeca, L., & Iida, F. (2023, September). Comparative Study of Hand-Tracking and Traditional Control Interfaces for Remote Palpation. In Annual Conference Towards Autonomous Robotic Systems (pp. 457-469). Cham: Springer Nature Switzerland, https://doi.org/10.1007/978-3-031-43360-3_37

• Almanzor, E., Birell, S., & Iida, F. (2023, September). Rapid Development and Performance Evaluation of a Potato Planting Robot. In Annual Conference Towards Autonomous Robotic Systems (pp. 15-25). Cham: Springer Nature Switzerland, https://doi.org/10.1007/978-3-031-43360-3_2

• E. Almanzor, F. Ye, J. Shi, T. G. Thuruthel, H. A. Wurdemann and F. Iida, "Static Shape Control of Soft Continuum Robots Using Deep Visual Inverse Kinematic Models," in IEEE Transactions on Robotics, vol. 39, no. 4, pp. 2973-2988, Aug. 2023, doi:10.1109/TRO.2023.3275375

• Almanzor, E., Anvo, N. R., Thuruthel, T. G., & Iida, F. (2022). Autonomous detection and sorting of litter using deep learning and soft robotic grippers. Frontiers in Robotics and AI, 9, 1064853, https://doi.org/10.3389/frobt.2022.1064853

• Almanzor, E., Thuruthel, T. G., & Iida, F. (2022, October). Automated fruit quality testing using an electrical impedance tomography-enabled soft robotic gripper. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 8500-8506). IEEE, doi: 10.1109/IROS47612.2022.9981987

 

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Haris Matsantonis

• Lasenby A, Lasenby J, Matsantonis C. Reconstructing a rotor from initial and final frames using characteristic multi-vectors: With applications in orthogonal transformations. Math. Meth. Appl. Sci. 47 (2024), 1218–1235, DOI 10.1002/mma.8811.

• Matsantonis, C., Lasenby, J. (2024). A Geometric Algebra Solution to the Absolute Orientation Problem. In: Araujo Da Silva, D.W.H., Hildenbrand, D., Hitzer, E. (eds) Advanced Computational Applications of Geometric Algebra. ICACGA 2022. Springer Proceedings in Mathematics & Statistics, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-55985-3_5.

• Matsantonis, C., Lasenby, J. (2023). A Geometric Algebra Solution to the 3D Registration Problem. In: Iida, F., Maiolino, P., Abdulali, A., Wang, M. (eds) Towards Autonomous Robotic Systems. TAROS 2023. Lecture Notes in Computer Science, vol.14136. Springer, Cham. https://doi.org/10.1007/978-3-031-43360-3_25

• Matsantonis, C., Lasenby J. and Lasenby, A., A Novel Line Alignment Algorithm using Geometric Algebra, University of Cambridge, Department of Engineering, Information Engineering & Department of Physics, Astrophysics Group.

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Jack Foster

• Foster, J., Schoepf, S., & Brintrup, A. (2024). Fast Machine Unlearning without Retraining through Selective Synaptic Dampening. Proceedings of the AAAI Conference on Artificial Intelligence, 38(11), 12043-12051. https://doi.org/10.1609/aaai.v38i11.29092

• Foster, J., Fogarty, K., Schoepf, S., Öztireli, C., & Brintrup, A. (2024). Zero-shot machine unlearning at scale via lipschitz regularization. arXiv preprint arXiv:2402.01401.

• Schoepf, S., Foster, J., & Brintrup, A. (2024). Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening. arXiv preprint arXiv:2402.10098.

• Schoepf, S., Foster, J., & Brintrup, A. (2024). Potion: Towards Poison Unlearning. arXiv preprint arXiv:2406.09173.

• Foster, J., Brintrup, A. Aiding food security and sustainability efforts through graph neural network-based consumer food ingredient detection and substitution. Sci Rep 13, 18809 (2023). https://doi.org/10.1038/s41598-023-44859-0

• Foster, J., Gudelis, M., & Esfahani, A. G. (2022). Robotic Perception in Agri-food Manipulation: A Review. arXiv preprint arXiv:2208.10580.

• Foster, J., & Brintrup, A. (2023). Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization. arXiv preprint arXiv:2309.08546.

• Foster, Jack, Stefan Schoepf, and Alexandra Brintrup. Loss-Free Machine Unlearning. arXiv preprint arXiv:2402.19308 (2024).

• S. Schoepf, J. Foster and A. Brintrup, "Identifying Contributors to Supply Chain Outcomes in a Multiechelon Setting: A Decentralised Approach," in IEEE Transactions on Industrial Informatics, doi:10.1109/TII.2024.3435431

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Will Rohde

• William Rohde, Fulvio Forni, Lettuce modelling for growth control in precision agriculture, European Journal of Control, Volume 74, 2023, https://doi.org/10.1016/j.ejcon.2023.100843. (https://www.sciencedirect.com/science/article/pii/S0947358023000729)
• Wichitwechkarn, V., Rohde, W., Choudhary, R., Design and validation of an open-sourced automation system for vertical farming, HardwareX, VL 16, 2023, doi: 10.1016/j.ohx.2023.e00497
• V. Wichitwechkarn, W. Rohde, C.Fox, R.Choudhary, Data-driven definition and modelling of plant growth, Smart Agricultural Technology journal, Vol 8, 2024, https://doi.org/10.1016/j.atech.2024.100495.

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Bethan Moncur

• Moncur, B., Galvez Trigo, M.J., Mortara, L. (2023). Augmented Reality to Reduce Cognitive Load in Operational Decision-Making. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2023. Lecture Notes in Computer Science(), vol 14019. Springer, Cham. https://doi.org/10.1007/978-3-031-35017-7_21
•  Leeb, C., Mortara, L., Felicini, N., Phaal, R., & Moncur, B. (2023). (Best) Practices in the Integration of Social and Digital Decision - Making Approaches Across Industries. Institute for Manufacturing. https://doi.org/10.17863/CAM.100091
• Moncur, Bethan; Clawson, Garry; Bennett, James; Fogarty, Kyle; Fox, Charles (2022). Towards Open Source Hardware Robotic Woodwind: an Internal Duct Flute Player. University of Lincoln. Conference contribution. https://hdl.handle.net/10779/lincoln.25179038.v1

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Garry Clawson

• Carter, SJ, Tsagkopoulos, NC, Clawson, G and Fox, C. 2023. OpenScout: Open Source Hardware Mobile Robot. Journal of Open Hardware, 7(1): 9, pp. 1–11. DOI: https://doi.org/10.5334/joh.54
• Garry Clawson. 2023. A Technology Readiness Level for Blockchain. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). Association for Computing Machinery, New York, NY, USA, 249–257. https://doi.org/10.1145/3555776.3577704
• G. Clawson, "Applications of Distributed Ledger Technologies in Robotics," 2023 IEEE/SICE International Symposium on System Integration (SII), Atlanta, GA, USA, 2023, pp. 1-7, doi: 10.1109/SII55687.2023.10039183.
• Clawson, Garry; Fox, Charles (2022). Blockchain Crop Assurance and Localisation. University of Lincoln. Conference contribution. https://hdl.handle.net/10779/lincoln.25179395.v1
• Moncur, Bethan; Clawson, Garry; Bennett, James; Fogarty, Kyle; Fox, Charles (2022). Towards Open Source Hardware Robotic Woodwind: an Internal Duct Flute Player. University of Lincoln. Conference contribution. https://hdl.handle.net/10779/lincoln.25179038.v1
• Clawson, Garry (2022). Sub-SPARC: Investigation of Imperfect Teachers. University of Lincoln. Conference contribution. https://hdl.handle.net/10779/lincoln.25179452.v2
• Dawson, Benjamin; Clawson, Garry; Rogers, Harry; Fox, Charles (2021). Extending an Open Source Hardware Agri-Robot with Simulation and Plant Re-identification. University of Lincoln. Conference contribution. https://hdl.handle.net/10779/lincoln.25178411.v1

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Kyle Fogarty

• Foster, J., Fogarty, K., Schoepf, S., Öztireli, C., & Brintrup, A. (2024). Zero-shot machine unlearning at scale via lipschitz regularization. arXiv preprint arXiv:2402.01401.
• Zhong, F., Fogarty, K., Hanji, P., Wu, T., Sztrajman, A., Spielberg, A., ... & Oztireli, C. (2023). Neural fields with hard constraints of arbitrary differential order. arXiv preprint arXiv:2306.08943.
• Yang, J., Fogarty, K., Zhong, F., & Oztireli, C. (2024). SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs. arXiv preprint arXiv:2406.06432.
• Zhou, C., Zhong, F., Hanji, P., Guo, Z., Fogarty, K., Sztrajman, A., ... & Oztireli, C. (2023). FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation. arXiv preprint arXiv:2311.12090.
• Moncur, Bethan; Clawson, Garry; Bennett, James; Fogarty, Kyle; Fox, Charles (2022). Towards Open Source Hardware Robotic Woodwind: an Internal Duct Flute Player. University of Lincoln. Conference contribution. https://hdl.handle.net/10779/lincoln.25179038.v1

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Paul-David Zuercher

• Eger, V. M., Georganta, E., Zuercher, P. D. J., Mueller, F., Bohné, T., & Diefenbach, S. (2024). The power of play: gamification in virtual workplace training. European Journal of Work and Organizational Psychology, 1–19. https://doi.org/10.1080/1359432X.2024.2412360
•   Zuercher, P.-D., & Bohne, T. (2024). Discrete Event Probabilistic Simulation (DEPS) integrated into a Reinforcement Learning Framework for Optimal Production. Elsevier. https://doi.org/10.17863/CAM.110538
• L. Pietschmann, P. Zürcher, E. Bubik, Z. Chen, H. Pfister and T. Bohné, "Quantifying the Impact of XR Visual Guidance on User Performance Using a Large-Scale Virtual Assembly Experiment," 2023 IEEE Visualization and Visual Analytics (VIS), Melbourne, Australia, 2023, pp. 211-215, doi:10.1109/VIS54172.2023.00051
• Zuercher, P. D. J. (2023). Evaluating hardware differences for crowdsourcing and traditional recruiting methods. arXiv preprint arXiv:2306.09913.
• Farr A, Pietschmann L, Zürcher P, Bohné T. Skill retention after desktop and head-mounted-display virtual reality training. Experimental Results. 2023;4:e2. doi:10.1017/exp.2022.28
• T. Bohné, I. Heine, F. Mueller, P. -D. J. Zuercher and V. M. Eger, "Gamification Intensity in Web-Based Virtual Training Environments and Its Effect on Learning," in IEEE Transactions on Learning Technologies, vol. 16, no. 5, pp. 603-618, Oct. 2023, doi: 10.1109/TLT.2022.3208936
• Zuercher, Paul-David and Bohné, Thomas Marc and Eger, Vera and Mueller, Felix, Optimising virtual reality training in industry using crowdsourcing (April 4, 2022). Optimising virtual reality training in industry using crowdsourcing, Proceedings of the 12th Conference on Learning Factories (CLF 2022), Available at SSRN: https://ssrn.com/abstract=4075130
• Paul-David Joshua Zuercher, Thomas Bohné and Mark Hanheide, Augmenting Strawberry Agronomy: From Systematic Literature Review to Value Flow Map, University of Cambridge, Cambridge CB2 1PZ, UK & University of Lincoln, Brayford Way, Lincoln LN6 7TS, UK

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Rachel Russell

• Russell, R., & Cunniffe, N.J. (2024) Optimal Control Prevents Itself from Eradicating Stochastic Disease Epidemics, pre-print.
• Trimble, R., & Fox, C. (2023) Skid-steer friction calibration protocol for digital twin creation. In: TAROS, September 12-15 2023, Cambridge, UK
• Accelerate AI in Biological Science workshop (May 2023): Can we use Machine Learning to Improve Control of Invasive Plant Diseases?
• 12th International Congress of Plant Pathology – ICPP satellite event 2023 (August 2023): Integrating Reinforcement Learning and Epidemiological Models for Disease Control Optimisation with Limited Information.

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Vijja Wichitwechkarn

• Wichitwechkarn, V., Rohde, W., Choudhary, R., Design and validation of an open-sourced automation system for vertical farming, HardwareX, VL 16, 2023, doi: 10.1016/j.ohx.2023.e00497
• V. Wichitwechkarn, W. Rohde, C.Fox, R.Choudhary, Data-driven definition and modelling of plant growth, Smart Agricultural Technology journal, Vol 8, 2024, https://doi.org/10.1016/j.atech.2024.100495.
• Langtry, M., Wichitwechkarn, V., Ward, R., Zhuang, C., Kreitmair, M.J., Makasis, N., Conti, Z.X., Choudhary, R. (2024) Impact of data usage for forecasting on performance of model predictive control in buildings with smart energy storage, arXiv pre-print.
• Wichitwechkarn, V., and Fox, C. (2023) ‘MACARONS: A Modular and Open-Sourced Automation System for Vertical Farming‘. Journal of Open Hardware, 7 (1). ISSN 2514-1708.