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SANTTU Results – moresim.fi

santtu: RESUlts & publications

Below are publications from the SANTTU project in which the results are described in more detail.

Published journal articles, book chapters and conference papers:

Authors: Tomasz Piotr Kucner, Martin Magnusson, Sariah Mghames, Luigi Palmieri, Francesco Verdoja, Chittaranjan Srinivas Swaminathan, Tomáš Krajník, Erik Schaffernicht, Nicola Bellotto, Marc Hanheide, and Achim J Lilienthal. Title: Survey of maps of dynamics for mobile robots. The International Journal of Robotics Research, 2023, journal. https://doi.org/10.1177/0278364923119042

Authors: Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, and Ville Kyrki. Title: Learning representations that are closed-form Monge mapping optimal with application to domain adaptation. Transactions on Machine Learning Research, 2023, journal. https://doi.org/10.48550/arXiv.2305.07500

Authors: V. Zhidchenko, T. Komarov, A. Williot, N. Bauer and H. Handroos. Title: A method for planning the trajectory of mobile hydraulic crane booms with a focus on energy efficiency. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), Lemgo, Germany, 2023, pp. 1-7. Conference proceedings. https://doi.org/10.1109/INDIN51400.2023.10218284

Authors: Hashemi, Arash, Grzegorz Orzechowski, Aki Mikkola, and John McPhee. Title: Multibody dynamics and control using machine learning. Multibody System Dynamics, journal.  https://doi.org/10.1007/s11044-023-09884-x

Authors: Zhanjun Tan, Qasim Khadim, Aki Mikkola and Xiao-Zhi Gao. Title: Parameters Optimization in Hydraulically Driven Machines Using Swarm Intelligence. Intelligent Systems Design and Applications, 2023, journal. https://link.springer.com/chapter/10.1007/978-3-031-35507-3_2

Authors: Qasim Khadim, Yashar Shabbouei Hagh, Dezhi Jiang, Lauri Pyrhönen and et al. Title: Experimental investigation into the state estimation of a forestry crane using the unscented Kalman filter and a multiphysics model. Mechanism and Machine Theory, journal. https://doi.org/10.1016/j.mechmachtheory.2023.105405

David Blanco-Mulero, Gokhan Alcan, Fares J Abu-Dakka, and Ville Kyrki. Title: QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023). Conference.  https://doi.org/10.1109/IROS55552.2023.10342002

Authors: Alena Valtonen, Minna Saunila, Tero Rantala, and Juhani Ukko. Title: Industry 5.0 Adoption Among Heavy Machinery Producers: The Potential of Artificial Intelligence in Social Sustainability Facilitation. Book: Business for Sustainability, Volume II. Book chapter.  https://link.springer.com/chapter/10.1007/978-3-031-37365-7_2

Authors: Houari Bettahar, David Blanco Mulero, Ville Kyrki, and Quan Zhou. Title: Rapid Improvement of Fiber Tensile Properties via in situ Robotic Pulling and Bayesian Optimization. Wiley’s Advanced Intelligent Systems, 2023, journal. https://doi.org/10.1002/aisy.202300610

Authors: David Blanco-Mulero, Oriol Barbany, Gokhan Alcan, Adrià Colomé, Carme Torras, and Ville Kyrki. Title: Benchmarking the Sim-to-Real Gap in Cloth Manipulation. IEEE Robotics and Automation Letters (RA-L), 2024, journal. https://doi.org/10.1109/LRA.2024.3360814 

Presented workshops:

By: Shivam Chaubey, Francesco Verdoja, and Ville Kyrki. Title: Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation. ICRA 2024 Workshop on Towards Collaborative Partners: Design, Shared Control, and Robot Learning for Physical Human-Robot Interaction. 2024. https://sites.google.com/view/icra24-physical-hri

By: Matti Pekkanen, Francesco Verdoja, and Ville Kyrki. Title: Modeling movable objects improves localization in dynamic environments. ICRA 2024 Workshop on Future of Construction: Lifelong Learning Robots in Changing Construction Sites. 2024. https://construction-robots.github.io/papers/49.pdf

By: Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, and Ville Kyrki. Title: Evaluating the quality of robotic visual-language maps. ICRA 2024 Workshop on Vision-Language Models for Navigation and Manipulation. 2024. https://openreview.net/forum?id=FspmwJHZ2G

 

Presented conferences:

By: Victor Zhidchenko, T.Komarov, and Heikki Handroos. Title: Towards energy-efficient semi-autonomous operation of hydraulic mobile cranes. ASME/BATH 2023 Symposium on Fluid Power and Motion Control FPM2023. 2023.

By: Qasim Khadim, Emil Kurvinen, Aki Mikkola, and Grzegorz Orzechowski. Title: Efficient and Accurate Real-time Simulations of Coupled Mechanical Systems Using the Universal Hydraulic Surrogate. Proceedings of ASME 2023, IDETC/CIE. 2023.

Submitted journal articles and conference papers:

Authors: Tang, Yixuan, Grzegorz Orzechowski, Ales Prokop, and Aki Mikkola. Title: Monte Carlo Tree Search control scheme for multibody dynamics applications. Nonlinear Dynamics. Journal (under revision).

Authors: Han, Seongji, Grzegorz Orzechowski, Jin-Gyun Kim, and Aki Mikkola. Title: Data-driven friction force prediction model for hydraulic actuators using deep neural networks. Mechanism and Machine Theory. Journal (under revision).

Authors: Manzl, Peter, Oleg Rogov, Johannes Gerstmayr, Aki Mikkola, and Grzegorz Orzechowski. Title: Reliability Evaluation of Reinforcement Learning Methods for Mechanical Systems with Increasing Complexity. Multibody System Dynamics. Journal (under review).

Authors: Matti Pekkanen, Francesco Verdoja, and Ville Kyrki. Title: Object-oriented mapping in dynamic environments. 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2024). 2024. Conference.

Authors: Matti Pekkanen, Francesco Verdoja, and Ville Kyrki. Title: Localization under consistent assumptions over dynamics. 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2024). 2024. Conference.

Authors: Kirsi Kokkonen, Alena Valtonen, Minna Saunila, Päivi Aaltonen, Francesco Verdoja, Grzegorz Orzechowski, Emil Kurvinen, and Jussi Salakka. Title: Enablers and barriers to AI adoption: Evidence from the heavy machinery industry. Information System Frontiers. 2024. Journal (in revision).

Authors: Qasim Khadim, Emil Kurvinen, Aki Mikkola, and Grzegorz Orzechowski. Title: Simulation-Driven Universal Hydraulic Surrogates: Real-Time Simulation of Forestry Crane. ASME Journal. 2024. Journal (in process).

Authors: Emil Kurvinen, Qasim Khadim, E. Ikäheimo, T. Choudbury, and R. Jastrzebski. Title: Computationally Lightweight Method for Campbell Diagram Calculation. ASME GT2024. 2024. Journal (under review).

Authors: Qasim Khadim, Emil Kurvinen, Johannes Gerstmayr, Aki Mikkola, and Grzegorz Orzechowski. Title: Real-Time State Estimation of Hydraulically-Driven Systems Based on Unscented Kalman Filter and Low-Fidelity Models. ASME IDETC. 2024. Journal (under review).

Authors: Alena Valtonen, Jaan-Pauli Kimpimäki, and Nina Savela. Title: Employee Wellbeing: A Computational Review on the Consequences of Workplace Automation. Technovation. 2024. Journal (submitted).

Authors: Alena Valtonen, Minna Saunila, Juhani Ukko, Luke Treves, and Paavo Ritala. Title: AI and Employee Well-being in the Workplace: An Empirical Study. Technovation. 2025. Journal (submitted).

Authors: Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, and Ville Kyrki. Title: Do Visual-Language Maps Capture Latent Semantics? 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). 2024. Conference (submitted).

Authors: Eric Hannus, Tran Nguyen Le, David Blanco-Mulero, and Ville Kyrki. Title: Dynamic Manipulation of Deformable Objects using Imitation Learning with Adaptation to Hardware Constraints. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). 2024. Conference (submitted).

Authors: Shivam Chaubey, Francesco Verdoja, and Ville Kyrki. Title: Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). 2024. Conference (submitted).

Authors: Samuli Hynninen, Tran Nguyen Le, and Ville Kyrki. Title: Interactive Identification of Granular Materials using Force Measurements. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). 2024. Conference (submitted).

Also two upcoming book chapters:

Authors: Emil Kurvinen, Antero Kutvonen, Päivi Aaltonen, Jussi Salakka, and Behnam Ghalamchi. Title: Physics-Based Digital Twins Leveraging Competitive Edge in Novel Markets. Handbook of Digital Twins.

Authors: Päivi Aaltonen, Laavanya Ramaul, Emil Kurvinen, Antero Kutvonen, Andre Nemeh​. Title: Organizational Barriers and Enablers in Reaching Maturity in Digital Twin Technology. Handbook of Digital Twins.