Dr Daniela Sawyer
PhD, MIET, PgD Mgmt
Advanced Manufacturing Research Centre
Technical Fellow - Robotics Research
Full contact details
Advanced Manufacturing Research Centre
Factory 2050
Sheffield Business Park
Sheffield
S9 1ZA
- Profile
-
Dr Daniela Sawyer is the Technical Fellow in Robotics Research at the University of Sheffield Advanced Manufacturing Research Centre (AMRC). Daniela’s areas of expertise include robotic machining, accurate robotics, and dynamics. Daniela has been working at the AMRC since 2017 and during her time there, has successfully delivered projects for high profile manufacturers across a range of sectors, relating to conventional and non-conventional manufacturing techniques. Daniela has been working with funding bodies such as ATI and EPSRC to deliver valuable research in the areas of accurate robotics, robotic machining, as well as applied AI and data science techniques in robotics.
- Research interests
-
Robotics, Robot Dynamics, Automation, Robot Accuracy
- Publications
-
Journal articles
- Improving robotic accuracy through iterative teaching. SAE Technical Paper Series, 2020(March).
- Development of a Non-Parametric Robot Calibration Method to Improve Drilling Accuracy. SAE Technical Paper Series.
Conference proceedings papers
- Path Following Performance Analysis for Siemens 840 D sl Controlled Robotic Machining Platforms with Secondary Encoders. SAE Technical Papers
- Robotic Drilling: A Review of Present Challenges. AeroTech Conference & Exhibition
- Performance analysis of a novel cutting tool for hole generation on a CFRP material via robot machining. ISR Europe 2023 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 – 27, 2023 in Stuttgart (pp 326-331). Germany, 26 September 2023 - 27 September 2023.
- Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325-345)
- System Identification of an MDOF Experimental Structure with a View Towards Validation and Verification (pp 57-65)
- 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 and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 1253-1266) View this article in WRRO
- Bayesian System Identification of Dynamical Systems Using Reversible Jump Markov Chain Monte Carlo (pp 277-284) View this article in WRRO
- Equipment health monitoring for industrial robotic arms. Proceedings of 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). Bari, Italy, 28 August 2024 - 28 August 2024. View this article in WRRO
- Multiple Damage Identification Using the Reversible Jump Markov Chain Monte Carlo. Structural Health Monitoring 2015
Reports
- Improving robotic accuracy through iterative teaching. SAE Technical Paper Series, 2020(March).
- Research group
-
Integrated Manufacturing Group (IMG)
- Grants
-
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
-
Member of IET