Tiago Almeida

Artiklar i tidskrifter

• Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Palmieri, L. , Kucner, T. P. & et al. (2024). THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction.  The international journal of robotics research. [BibTeX]
• Almeida, T. R. d. , Zhu, Y. , Rudenko, A. , Kucner, T. P. , Stork, J. A. , Magnusson, M. & Lilienthal, A. J. (2024). Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets.  IEEE Robotics and Automation Letters, 9 (7), 6576-6583. [BibTeX]

Konferensbidrag

• Rudenko, A. , Zhu, Y. , Almeida, T. R. d. , Schreiter, T. , Castri, L. , Belotto, N. , Linder, T. , Vaskevicius, N. & et al. (2025). Hierarchical System to Predict Human Motion and Intentions for Efficient and Safe Human-Robot Interaction in Industrial Environments. I:  1st German Robotics Conference. Konferensbidrag vid 1st German Robotics Conference, Nuremberg, Germany, March 13-15, 2025. [BibTeX]
• Almeida, T. , Schreiter, T. , Rudenko, A. , Palmieri, L. , Stork, J. A. & Lilienthal, A. J. (2025). THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces. I:  20th edition of the ACM/IEEE International Conference on Human-Robot Interaction. Konferensbidrag vid 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2025), Melbourne, Australia, March 4-6, 2025. [BibTeX]
• Rodrigues de Almeida, T. & Martinez Mozos, O. (2023). Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction. I:  2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 24-28 Sept. 2023 Proceedings. Konferensbidrag vid 26th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2023), Bilbao, Bizkaia, Spain, September 24-28, 2023. (ss. 1269-1276). IEEE. [BibTeX]
• Almeida, T. , Rudenko, A. , Schreiter, T. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Kucner, T. P. , Martinez Mozos, O. & et al. (2023). THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction. I:  2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Konferensbidrag vid IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris, France, October 2-6, 2023. (ss. 2192-2201). IEEE. [BibTeX]
• Almeida, T. R. d. , Gutiérrez Maestro, E. & Martinez Mozos, O. (2022). Context-free Self-Conditioned GAN for Trajectory Forecasting. I: Wani, MA; Kantardzic, M; Palade, V; Neagu, D; Yang, L; Chan, KY,  21st IEEE International Conference on Machine Learning and Applications. ICMLA 2022 Proceedings. Konferensbidrag vid 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), Nassau, Bahamas, December 12-14, 2022. (ss. 1218-1223). IEEE. [BibTeX]
• Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Kucner, T. P. , Martinez Mozos, O. & et al. (2022). The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. Konferensbidrag vid 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022. [BibTeX]