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Traditional control interfaces for robotic-assisted minimally invasive surgery impose a significant cognitive load on surgeons.
M. E. Allaf, S. V. Jackman, P. G. Schulam, J. A. Cadeddu, B. R. Lee, R. G. Moore, and L. R. Kavoussi, “Laparoscopic visual field: voice vs foot pedal interfaces for control of the AESOP robot,” Surgical Endoscopy, vol. 12, pp. 1415-1418, 1998
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G. E. H. El‐Shallaly, B. Mohammed, M. S. Muhtaseb, A. H. Hamouda, and A. H. M. Nassar, “Voice recognition interfaces (VRI) optimize the utilization of theatre staff and time during laparoscopic cholecystectomy,” Minimally Invasive Therapy & Allied Technologies, vol. 14, no. 6, pp. 369-371, 2005
2005
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C.-A. O. Nathan, V. Chakradeo, K. Malhotra, H. D’Agostino, and R. Patwardhan, “The voice-controlled robotic assist scope holder AESOP for the endoscopic approach to the sella,” Skull Base, vol. 16, no. 3, pp. 123-131, 2006
2006
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C. Staub, S. Can, A. Knoll, V. Nitsch, I. Karl, and B. Färber, “Implementation and evaluation of a gesture-based input method in robotic surgery,” in 2011 IEEE International Workshop on Haptic Audio Visual Environments and Games, pp. 1-7, IEEE, 2011
2011
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D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann et al., “The Kaldi speech recognition toolkit,” in IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, IEEE Signal Processing Society, 2011
2011
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K. Zinchenko, C.-Y. Wu, and K.-T. Song, “A study on speech recognition control for a surgical robot,” IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 607-615, 2016
2016
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P. L. Kubben and R. S. N. Sinlae, “Feasibility of using a low-cost head-mounted augmented reality device in the operating room,” Surgical Neurology International, vol. 10, 2019
2019
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A. Schulte, R. Suarez-Ibarrola, D. Wegen, P.-F. Pohlmann, E. Petersen, and A. Miernik, “Automatic speech recognition in the operating room–An essential contemporary tool or a redundant gadget? A survey evaluation among physicians in form of a qualitative study,” Annals of Medicine and Surgery, vol. 59, pp. 81-85, 2020
2020
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Y.-J. Yang, S. Udatha, D. Kulić, and E. Abdi, “A novel foot interface versus voice for controlling a robotic endoscope holder,” in 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), pp. 272-279, IEEE, 2020
2020
Cited alongside, same era.
Y. He, Z. Deng, and J. Zhang, “Design and voice‐based control of a nasal endoscopic surgical robot,” CAAI Transactions on Intelligence Technology, vol. 6, no. 1, pp. 123-131, 2021
2021
Cited alongside, same era.
C. Deuerlein, M. Langer, J. Seßner, P. Heß, and J. Franke, “Human-robot-interaction using cloud-based speech recognition systems,” Procedia CIRP, vol. 97, pp. 130-135, 2021
2021
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H. Chen, M. C. Leu, and Z. Yin, “Real-time multi-modal human–robot collaboration using gestures and speech,” Journal of Manufacturing Science and Engineering, vol. 144, no. 10, p. 101007, 2022
2022
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J. Colan, A. Davila, Y. Zhu, T. Aoyama, and Y. Hasegawa, “OpenRST: An Open Platform for Customizable 3D Printed Cable-Driven Robotic Surgical Tools,” IEEE Access, vol. 11, pp. 6092-6105, 2023
2023
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Y. Yamada, J. Colan, A. Davila, and Y. Hasegawa, “Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows,” International Journal of Computer Assisted Radiology and Surgery, vol. 19, no. 6, pp. 1075-1083, 2024
2024
Closest in time.
R. A. Paul, L. Jawad, A. Shankar, M. Majumdar, T. Herrick-Thomason, and A. Pandya, “Evaluation of a Voice-Enabled Autonomous Camera Control System for the da Vinci Surgical Robot,” Robotics, vol. 13, no. 1, p. 10, 2024
2024
Closest in time.
J. E. Domínguez-Vidal and A. Sanfeliu, “Voice Command Recognition for Explicit Intent Elicitation in Collaborative Object Transportation Tasks: a ROS-based Implementation,” in Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, pp. 412-416, 2024
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M. Elazzazi, L. Jawad, M. Hilfi, and A. Pandya, “A Natural Language Interface for an Autonomous Camera Control System on the da Vinci Surgical Robot,” Robotics, vol. 11, no. 2, p. 40, 2022
2022
Cited alongside, same era.
K. Fozilov, J. Colan, A. Davila, K. Misawa, J. Qiu, Y. Hayashi, K. Mori, and Y. Hasegawa, “Endoscope automation framework with hierarchical control and interactive perception for multi-tool tracking in minimally invasive surgery,” Sensors, vol. 23, no. 24, p. 9865, 2023
2023
Cited alongside, same era.
A. Radford, J. W. Kim, T. Xu, G. Brockman, C. McLeavey, and I. Sutskever, “Robust speech recognition via large-scale weak supervision,” in International Conference on Machine Learning, pp. 28492-28518, PMLR, 2023
2023
Cited alongside, same era.
2024
Closest in time.
A. Davila, J. Colan, and Y. Hasegawa, “Real-time inverse kinematics for robotic manipulation under remote center-of-motion constraint using memetic evolution,” Journal of Computational Design and Engineering, vol. 11, no. 3, pp. 248-264, 2024
2024
Closest in time.
S. Liu, J. Colan, Y. Zhu, T. Kobayashi, K. Misawa, M. Takeuchi, and Y. Hasegawa, “Latent regression based model predictive control for tissue triangulation,” Advanced Robotics, vol. 38, no. 5, pp. 283-306, 2024
2024
Closest in time.
A. Davila, J. Colan, and Y. Hasegawa, “Comparison of fine-tuning strategies for transfer learning in medical image classification,” Image and Vision Computing, vol. 146, p. 105012, 2024
2024
Closest in time.