Bernshteĭn, N. A. (1967). The co-ordination and regulation of movements. Pergamon Press.
Christen, S., Yang, W., Pérez-D’Arpino, C., Hilliges, O., Fox, D., & Chao, Y.-W. (2023b). Learning Human-to-Robot Handovers from Point Clouds. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9654‑9664.
Costes, A., Turpin, N. A., Villeger, D., Moretto, P., & Watier, B. (2018). Spontaneous change from seated to standing cycling position with increasing power is associated with a minimization of cost functions. Journal of Sports Sciences, 36(8), 907‑913.
Djeha, M., Dallard, A., Zermane, A., Gergondet, P., & Kheddar, A. (2022). Human-Robot Handovers using Task-Space Quadratic Programming. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 518‑523. Duan, H., Wang, P., Li, Y., Li, D., & Wei, W. (2023). Learning Human-to-Robot Dexterous Handovers for Anthropomorphic Hand. IEEE Transactions on Cognitive and Developmental Systems, 15(3), 1224‑1238.
Duan, H., Yang, Y., Li, D., & Wang, P. (2024). Human–robot object handover : Recent progress and future direction. Biomimetic Intelligence and Robotics, 4(1), 100145.
Feldman, A. G. (2010). How the Brain Solves Redundancy Problems. Motor control, 14(3), e1‑e5.
Fishman, C. Paxton, W. Yang, D. Fox, B. Boots, & N. Ratliff. (2021). Collaborative Interaction Models for Optimized Human-Robot Teamwork. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 11221‑11228.
Gulletta, G., Silva, E. C. E., Erlhagen, W., Meulenbroek, R., Costa, M. F. P., & Bicho, E. (2021). A Human-like Upper-limb Motion Planner : Generating naturalistic movements for humanoid robots. International Journal of Advanced Robotic Systems, 18(2), 172988142199858.
Chappellet, K., Murooka, M., Caron, G., Kanehiro, F. & Kheddar, A. (2023). Humanoid Loco-Manipulations Using Combined Fast Dense 3D Tracking and SLAM With Wide-Angle Depth-Images. IEEE Transactions on Automation Science and Engineering, 1‑14. https://doi.org/10.1109/TASE.2023.3283497
Keller, M., Werling, K., Shin, S., Delp, S., Pujades, S., Liu, C. K., & Black, M. J. (2023). From Skin to Skeleton : Towards Biomechanically Accurate 3D Digital Humans. ACM Transactions on Graphics, 42(6), 1‑12.
Kupcsik, A., Hsu, D., & Lee, W. S. (2018). Learning Dynamic Robot-to-Human Object Handover from Human Feedback. In A. Bicchi & W. Burgard (Éds.), Robotics Research : Volume 1 (p. 161‑176). Springer International Publishing.
Liao, S., Lin, L., & Chen, Q. (2023). Research on the acceptance of collaborative robots for the industry 5.0 era—The mediating effect of perceived competence and the moderating effect of robot use self-efficacy. International Journal of Industrial Ergonomics, 95, 103455.
Maldonado, G., Souères, P., & Watier, B. (2019). From Biomechanics to Robotics. In G. Venture, J.-P. Laumond, & B. Watier (Éds.), Biomechanics of Anthropomorphic Systems (Vol. 124, p. 35‑63). Springer International Publishing.
Maroger, I., Silva, M., Pillet, H., Turpin, N., Stasse, O., & Watier, B. (2022). Walking paths during collaborative carriages do not follow the simple rules observed in the locomotion of single walking subjects. Scientific Reports, 12(1), 15585.
Maroger, I., Stasse, O., & Watier, B. (2021). Inverse optimal control to model human trajectories during locomotion. Computer Methods in Biomechanics and Biomedical Engineering, 1‑13.
Maroger, I., Stasse, O., & Watier, B. (2022). From the Study of Table Trajectories during Collaborative Carriages toward Pro-active Human-Robot Table Handling Tasks. 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), 911‑918.
Mastalli, C., Budhiraja, R., Merkt, W., Saurel, G., Hammoud, B., Naveau, M., Carpentier, J., Righetti, L., Vijayakumar, S., & Mansard, N. (2020). Crocoddyl : An Efficient and Versatile Framework for Multi-Contact Optimal Control. arXiv:1909.04947.
Meng, C., Zhang, T., & Lam, T. L. (2022). Fast and Comfortable Interactive Robot-to-Human Object Handover. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3701‑3706.
Mujica, M., Crespo, M., Benoussaad, M., Junco, S., & Fourquet, J.-Y. (2023). Robust variable admittance control for human–robot co-manipulation of objects with unknown load. Robotics and Computer-Integrated Manufacturing, 79, 102408.
Crombez, N., Buisson, J., André, A.N. & Caron G. (2024). Dual-Hemispherical Photometric Visual Servoing. IEEE Robotics and Automation Letters, 1‑8.
Pan, M. K. X. J., Knoop, E., Bächer, M. & Niemeyer, G. (2019). Fast Handovers with a Robot Character : Small Sensorimotor Delays Improve Perceived Qualities. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 6735‑6741.
Perovic, G., Iori, F., Mazzeo, A., Controzzi, M., & Falotico, E. (2023). Adaptive Robot-Human Handovers With Preference Learning. IEEE Robotics and Automation Letters, 8(10), 6331‑6338.
Prassida, G. F., & Asfari, U. (2022). A conceptual model for the acceptance of collaborative robots in industry 5.0. Procedia Computer Science, 197, 61‑67.
Turpin, N. A., Costes, A., Moretto, P., & Watier, B. (2016). Upper limb and trunk muscle activity patterns during seated and standing cycling. Journal of Sports Sciences, 1‑8.
Turpin, N. A., Costes, A., Moretto, P., & Watier, B. (2017). Can muscle coordination explain the advantage of using the standing position during intense cycling? Journal of Science and Medicine in Sport, 20(6), 611‑616.
Yoshiyasu, Y. (2023). Deformable Mesh Transformer for 3D Human Mesh Recovery. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17006‑17015.
Zhu, Y., Samet, N. & Picard, D. (2023). H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 20109‑20120.
Ye, R., Xu, W., Xue, Z., Tang, T., Wang, Y., & Lu, C. (2021). H2O : A Benchmark for Visual Human-human Object Handover Analysis. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 15742‑15751.
Zatsiorsky, V. M. (2002). Kinetics of Human Motion. Human Kinetics.