Scientific publications
M. Lippi, P. Poklukar, M. C. Welle, A. Varava, H. Yin, A. Marino, D. Kragic: Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap, July 2022. International journal IEEE Transactions on Robotics. DOI: https://doi.org/10.1109/TRO.2022.3188163
P. D. Lillo, D. D. Vito and G. Antonelli. Merging Global and Local Planners: Real-Time Replanning Algorithm of Redundant Robots Within a Task-Priority Framework. IEEE Transactions on Automation Science and Engineering, 2022. DOI: 10.1109/tase.2022.3178266. ISSN: 1545-5955 (https://ieeexplore.ieee.org/document/9793725)
C. R. de Cos and D.V. Dimarogonas. Adaptive Cooperative Control for Human-Robot Load Manipulation. RA-L 2022. . IEEE Robotics and Automation Letters. Volume: 7, Issue: 2. DOI: 10.1109/lra.2022.3158435. ISSN: 1949-3045 (https://ieeexplore.ieee.org/document/9732637)
M. Lippi, A. Furchì, A. Marino, A. Gasparri. Finite-Time Distributed Protocol for Tracking the Upper (Lower) Bound for a Set of Time-Varying Reference Signals. International conference IEEE Mediterranean Conference on Control and Automation 2022. DOI: 10.1109/med54222.2022.9837239.
M. Lippi, P. Poklukar, M. C. Welle, A. Varava, H. Yin, A. Marino, D. Kragic. Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap. IEEE Transactions on Robotics. DOI: 10.1109/tro.2022.3188163. ISSN: 1552-3098. (https://arxiv.org/pdf/2103.02554.pdf)
M. Lippi, A. Furchì, A. Marino and A. Gasparri. An Adaptive Distributed Protocol for Finite-Time Infimum or Supremum Dynamic Consensus. IEEE Control Systems Letters. Vol 7. DOI: 10.1109/lcsys.2022.3188941. ISSN: 2475-1456. http://hdl.handle.net/11590/414288.
Z. Z. S. Dashti; G. Oliva; C. Seatzu; A. Gasparri; M. Franceschelli. Distributed Mode Computation in Open Multi-Agent Systems. IEEE Control Systems Letters. Vol.6. 2022. DOI: 10.1109/lcsys.2022.3185419. ISSN: 2475-1456. http://hdl.handle.net/11590/414289.
T. A. Ciarfuglia, I. M. Motoi, L. Saraceni, D. Nardi. Pseudo-Label Generation for Agricultural Robotics Applications. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. https://openaccess.thecvf.com/content/CVPR2022W/AgriVision/html/Ciarfuglia_Pseudo-Label_Generation_for_Agricultural_Robotics_Applications_CVPRW_2022_paper.html
X. Tan, W. S. Cortez and D. V. Dimarogonas. High-order barrier functions: Robustness, safety and performance-critical control. IEEE Transactions on Automatic Control, 2021. DOI: 10.1109/tac.2021.3089639. ISSN: 0018-9286. (https://ieeexplore.ieee.org/abstract/document/9456981)
R. Baran, X. Tan, P. Varnai, P. Yu, S. Ahlberg, M. Guo, W. S. Cortez and Dimos V. Dimarogonas. A ROS Package for Human-In-the-Loop Planning and Control under Linear Temporal Logic Tasks. IEEE 17th International Conference on Automation Science and Engineering 2021, pp. 2182-2187. DOI: 10.1109/case49439.2021.9551648. ISBN: 2161-8089. (https://ieeexplore.ieee.org/abstract/document/9551648)
W. S. Cortez, X. Tan and D.s V. Dimarogonas. A Robust, Multiple Control Barrier Function Framework for Input Constrained Systems. IEEE Control Systems Letters. Volume 6 (2021): 1742-1747. DOI: 10.1109/lcsys.2021.3133418 . ISSN: 2475-1456 (https://ieeexplore.ieee.org/abstract/document/9638993)
X. Tan and D. V. Dimarogonas. Distributed Implementation of Control Barrier Functions for Multi-agent Systems. IEEE Control Systems Letters 6 (2021): 1879-1884. Vol.6. DOI: 10.1109/lcsys.2021.3133802. ISSN: 2475-1456 (https://ieeexplore.ieee.org/abstract/document/9642050)
P. Yu and D.V. Dimarogonas. Distributed motion coordination for multi-robot systems under LTL specifications. IEEE Transactions on Robotics 2021. Vol. 38, no 2 DOI: 10.1109/TRO.2021.3088764. ISSN: 1552-3098. (https://ieeexplore.ieee.org/abstract/document/9473029)
P. Yu and D.V. Dimarogonas. Time-constrained leader-follower multi-agent task scheduling and control synthesis. IEEE Transactions on Control of Networked Systems 2021. Vol.9. no1. DOI: 10.1109/TCNS.2021.3106452. ISSN: 2325-5870 (https://ieeexplore.ieee.org/abstract/document/9520284)
O. Gil, A. Garrell Zulueta and A. Sanfeliu. Social robot navigation tasks: Combining machine learning techniques and Social Force Model. Sensors, 21(7087), 2021. DOI: 10.3390/s21217087. ISSN: 1424-8220 (https://www.iri.upc.edu/publications/show/2488)
R. Gieselmann, A. Longhini, A. Reichlin, D. Kragic, F. T. Pokorny DLO@Scale: A Large-scale Meta Dataset for Learning Non-rigid Object Pushing Dynamics, Thirty-fifth Conference on Neural Information Processing Systems. NeurIPS 2021. (https://physical-reasoning.github.io/assets/pdf/papers/10.pdf).
S. Kaszuba, F. Leotta, D. Nardi. A Preliminary Study on Virtual Reality Tools in Human-Robot Interaction. International conference on Augmented Reality, Virtual reality and Computer graphics 2021. DOI: 10.1007/978-3-030-87595-4_7 . ISBN: 978-3-030-87594-7. (https://link.springer.com/chapter/10.1007/978-3-030-87595-4_7).
M. Lippi, A. Marino. A Control Barrier Function Approach to Human-multi-robot Safe Interaction. 29th Mediterranean Conference on Control and Automation 2021 (MED), pp. 604-609. DOI: 10.1109/med51440.2021.9480187 . ISBN: 978-1-6654-4660-0 . (https://ieeexplore.ieee.org/document/9480187)
M. Lippi, A. Marino. A Mixed-Integer Linear Programming Formulation for Human-Multi-Robot Task Allocation, 30th IEEE International Conference on Robot and Human Interactive Communication 2021 (ROMAN). DOI: 10.1109/ro-man50785.2021.9515362. ISBN: 978-1-7281-9078-5. (https://ieeexplore.ieee.org/document/9515362)
M. Lippi, A. Marino. Human Multi-Robot Physical Interaction: A Distributed Framework. Journal of Intelligent & Robotic Systems 2021 v 101, 35. DOI: 10.1007/s10846-020-01277-y. ISSN: 0921-0296. (https://link.springer.com/article/10.1007/s10846-020-01277-y)
M. Lippi, A. Furchì, A. Marino, A. Gasparri. An Adaptive Distributed Protocol for Finite-time Infimum or Supremum Dynamic Consensus. IEEE Control Systems Letters. (https://ieeexplore.ieee.org/abstract/document/9816009/). DOI: 10.1109/icra48506.2021.9561827. ISBN: 978-1-7281-9078-5 https://arxiv.org/pdf/2106.06781.pdf
M. Lippi, G. Gillini, A. Marino, F. Arrichiello. A Data-Driven Approach for Contact Detection, Classification and Reaction in Physical Human-Robot Collaboration. IEEE International Conference on Robotics and Automation 2021(ICRA), pp. 3597-3603. DOI: 10.1109/icra48506.2021.9561827. ISBN: 978-1-7281-9078-5 (https://ieeexplore.ieee.org/document/9561827)
J. Laplaza, A. Pumarola, F. Moreno-Noguer and A. Sanfeliu. Attention deep learning based model for predicting the 3D Human Body Pose using the Robot Human Handover Phases. 30th IEEE International Conference on Robot and Human Interactive Communication 2021. DOI: 10.1109/ro-man50785.2021.9515402. (https://ieeexplore.ieee.org/document/9515402)
