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Rui Xavier, José Luís Silva & Rodrigo Martins De Matos Ventura (2024). Pseudo-haptics Interfaces for Robotic Teleoperation. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (pp. 1139-1142). Boulder CO USA: ACM.
R. Xavier et al., "Pseudo-haptics Interfaces for Robotic Teleoperation", in Companion of the 2024 ACM/IEEE Int. Conf. on Human-Robot Interaction, Boulder CO USA, ACM, 2024, pp. 1139-1142
@inproceedings{xavier2024_1732212110720, author = "Rui Xavier and José Luís Silva and Rodrigo Martins De Matos Ventura", title = "Pseudo-haptics Interfaces for Robotic Teleoperation", booktitle = "Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction", year = "2024", editor = "", volume = "", number = "", series = "", doi = "10.1145/3610978.3640704", pages = "1139-1142", publisher = "ACM", address = "Boulder CO USA", organization = "SIGAI ACM Special Interest Group on Artificial Intelligence" }
TY - CPAPER TI - Pseudo-haptics Interfaces for Robotic Teleoperation T2 - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction AU - Rui Xavier AU - José Luís Silva AU - Rodrigo Martins De Matos Ventura PY - 2024 SP - 1139-1142 DO - 10.1145/3610978.3640704 CY - Boulder CO USA AB - When remotely operating robotic systems, the situation awareness and the absence of the possibility of direct human touch in such a remote environment constitute major challenges in telerobotics. Haptic feedback has been playing an important role when people interact with remote environments (e.g., in robotic teleoperation) or provide more immersive experiences in virtual environments. Like haptic devices, pseudo-haptic techniques aim to simulate haptic sensations in human–computer interaction between real and remote or virtual worlds, by exploring multimodal feedback, mainly the visual, and the brain’s capabilities and limitations, without needing a haptic device to be attached or applied to the body. The authors discuss the possibility of exploring pseudo-haptic techniques, notably combined multimodal techniques, to improve robotic teleoperation, in remote vehicle driving, object maneuvering, situation awareness, and collaborative tasks, which as per the best authors’ knowledge has not been explored in the literature. ER -