Dr Daniela Sawyer
PhD, MIET, PgD Mgmt
Advanced Manufacturing Research Centre
Senior Theme Lead - Automation
Full contact details
Advanced Manufacturing Research Centre
Factory 2050
Sheffield Business Park
Sheffield
S9 1ZA
- Profile
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Dr. Daniela Sawyer is a seasoned expert in automation and robotics, currently serving as the Senior Theme Lead for Automation at the University of Sheffield, AMRC. Her personal research focuses on robotic machining, accurate robotics, and dynamics. Since joining the AMRC in 2017, Daniela has successfully led projects for renowned manufacturers across various industries, leveraging both conventional and non-conventional manufacturing techniques. She has collaborated with organisations like ATI and EPSRC to advance robotics and automation research in manufacturing. Daniela represents the AMRC at national level as as a member of the High Value Manufacturing Catapult (HVMC) Special Purpose Group (SPG) for Automation, at European level as a member of the editorial team of ManuFUTURE's Working Group 'Automation of end-to-end and circular processes' and ADRA, and at international level as a member of the International Federation of Robotics (IFR) research committee.
- Research interests
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Robotics, Robot Dynamics, Automation, Robot Accuracy
- Publications
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Journal articles
- Development of a non-parametric robot calibration method to improve drilling accuracy. SAE International Journal of Advances and Current Practices in Mobility, 3(3), 1152-1159. View this article in WRRO
- Improving robotic accuracy through iterative teaching. SAE Technical Papers, 2020(March). View this article in WRRO
Book chapters
- Automated USMN integration for precision robotics and large-scale metrology In Cavalcanti A, Foster S & Richardson R (Ed.), Lecture Notes in Computer Science (pp. 68-79). Springer Nature Switzerland View this article in WRRO
Conference proceedings
- Machine learning for robotic accuracy improvement in drilling operations. IEEE International Conference on Automation Science and Engineering (CASE) (pp 2960-2966). Los Angeles, USA, 17 August 2025 - 17 August 2025. View this article in WRRO
- System Identification of an MDOF Experimental Structure with a View Towards Validation and Verification (pp 57-65)
- Equipment health monitoring for industrial robotic arms. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). Bari, Italy, 28 August 2024 - 28 August 2024. View this article in WRRO
- Path following performance analysis for Siemens 840 D sl controlled robotic machining platforms with secondary encoders. SAE Technical Papers. Charlotte, NC, USA, 12 March 2024 - 12 March 2024. View this article in WRRO
- Performance analysis of a novel cutting tool for hole generation on a CFRP material via robot machining. Europe ISR 2023 International Symposium on Robotics Proceedings (pp 326-331)
- Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325-345)
- Bayesian Parameter Estimation and Model Selection of a Nonlinear Dynamical System using Reversible Jump Markov Chain Monte Carlo. Proceedings of ISMA 2014, International Conference on Noise and Vibration Engineering. Leuven, Belgium, 15 September 2014 - 15 September 2014. View this article in WRRO
- Bayesian System Identification of Dynamical Systems using Reversible Jump Markov Chain Monte Carlo. Proceedings of IMAC XXXII, Conference and Exposition on Structural Dynamics. Orlando, Florida USA, 3 February 2014 - 3 February 2014. View this article in WRRO
- Robotic Drilling: A Review of Present Challenges. SAE Technical Paper Series, Vol. 1, 12 March 2024.
- Multiple Damage Identification Using the Reversible Jump Markov Chain Monte Carlo. Structural Health Monitoring 2015
Reports
- Development of a non-parametric robot calibration method to improve drilling accuracy. SAE International Journal of Advances and Current Practices in Mobility, 3(3), 1152-1159. View this article in WRRO
- Research group
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Integrated Manufacturing Group (IMG)
- Grants
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Technical Lead for AMRC involvement: Innovate UK BEIS-Funded Programmes - DELTA - Digitally Enhanced Low-cost Technology for Aerostructures, led by Airbus Operations Ltd, from June 2022 - December 2025, total funded value £12.5 million, consortium between Airbus operations Ltd, University of Sheffield, Loughborough University, Atlas Copco Ltd, University College londong, Spirit Aerosystems (Europe) Ltd and STFC Laboratories;
Research Associate and Technical PM for AMRC involvement: Aerospace Technology Institute (ATI) Strategic R&D Projects Batch 22- Additive Industrialisation for Future Technology (AIRLIFT), led by GKN Aerospace Filton AM (Hamish Rudram), from December 2018 to November 2023, 50% awarded grant of approximately £9,000,000, working with University of Sheffield, CFMS, GKN Aerospace, Siemens;
Research Associate and Leading AMRC involvement: Engineering and Physical Sciences Research Council (EPSRC), Made Smarter Innovation - Research Centre for Connected Factories, led by University of Nottingham (Svetan Ratchev), from September 2021 to February 2025, total awarded grant of approximately £5,000,000 with approximately £371,000 allocated directly to AMRC, working with University of Sheffield, University of Nottingham, University of Cambridge, and a consortium of industrial partners;
- Professional activities and memberships
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- AMRC representative member of the International Federation of Robotics Research Committee
- AMRC representative member of HVMC SPG Automation
- Member of the editorial team of ManuFUTURE Working Group 'Automation of end-to-end and circular processes'
- AMRC representative member of ADRA (AI, Data and Robotics Association).
- Member of IET