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Classical lens design minimizes optical aberrations to produce sharp images, but is typically decoupled from downstream computer vision tasks. Existing end-to-end optical design learns optical encoding through joint optimization, but often…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Xinge Yang , Qiang Fu , Yunfeng Nie , Wolfgang Heidrich

In order to demonstrate the limitations of assistive robotic capabilities in noisy real-world environments, we propose a Decision-Making Scenario analysis approach that examines the challenges due to user and environmental uncertainty, and…

Robotics · Computer Science 2025-01-22 Khairidine Benali , Praminda Caleb-Solly

The introduction of a teleoperated surgical robotic system designed for minimally invasive procedures enables the emulation of two distinct control modes through a dedicated input device of the surgical console: (1) Inside Control Mode,…

Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to act as a camera assistant. In addition to the burden of excessively involving surgical staff, this may…

Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, and quick recovery time, however, it imposes some limitations on surgeons ability. Among others such as lack of tactile or haptic…

Robotics · Computer Science 2021-09-07 Shahnewaz Ali , Yaqub Jonmohamadi , Ross Crawford , Davide Fontanarosa , Ajay K. Pandey

During the conceptual and prototype design stage of an industrial product, it is crucial to take assembly/disassembly and maintenance operations in advance. A well-designed system should enable relatively easy access of operating…

Robotics · Computer Science 2012-06-08 Liang Ma , Ruina Ma , Damien Chablat , Fouad Bennis

Robot-assisted minimally invasive surgeries offer many advantages but require complex motor tasks that take surgeons years to master. There is currently a lack of knowledge on how surgeons acquire these robotic surgical skills. Toward…

Robotics · Computer Science 2026-01-05 Hanna Kossowsky Lev , Yarden Sharon , Alex Geftler , Ilana Nisky

Purpose: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance.…

Robotics · Computer Science 2023-02-14 Christine Eilers , Rob van Kemenade , Benjamin Busam , Nassir Navab

Graphical history mechanisms have been widely utilized in many domains to support humans' limited working memory, error recovery, collaboration, and presentation in visual analysis. Yet, there are aspects that remain under-explored in…

Human-Computer Interaction · Computer Science 2022-04-22 Chunggi Lee , Juyoung Oh , Seungmin Jin , Isaac Cho , Sungahn Ko

The limited workspace in pediatric endoscopic surgery makes surgical suturing one of the most difficult tasks. During suturing, surgeons have to prevent collisions between tools and also collisions with the surrounding tissues. Surgical…

Robotics · Computer Science 2022-06-03 Murilo Marques Marinho , Hisashi Ishida , Kanako Harada , Kyoichi Deie , Mamoru Mitsuishi

Skull base surgery is a demanding field in which surgeons operate in and around the skull while avoiding critical anatomical structures including nerves and vasculature. While image-guided surgical navigation is the prevailing standard,…

Miniaturized instruments are highly needed for robot assisted medical healthcare and treatment, especially for less invasive surgery as it empowers more flexible access to restricted anatomic intervention. But the robotic design is more…

Robotics · Computer Science 2021-07-13 Xin Zhi , Weibang Bai , Eric M. Yeatman

PURPOSE OF REVIEW: Robot-assisted laparoscopic surgery in urology has gained immense popularity with the daVinci system, but a lot of research teams are working on new robots. The purpose of this study is to review current urologic robots…

Robotics · Computer Science 2008-12-15 Pierre Mozer , Jocelyne Troccaz , Dan Stoianovici

Deep neural networks are prone to learning spurious correlations, exploiting dataset-specific artifacts rather than meaningful features for prediction. In surgical operating rooms (OR), these manifest through the standardization of smocks…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Tony Danjun Wang , Tobias Czempiel , Nassir Navab , Lennart Bastian

Decision-making is a central yet under-defined goal in visualization research. While existing task models address decision processes, they often neglect the conditions framing a decision. To better support decision-making tasks, we propose…

Human-Computer Interaction · Computer Science 2025-07-25 Lena Cibulski , Stefan Bruckner

Input devices, such as buttons and sliders, are the foundation of any interface. The typical user-centered design workflow requires the developers and users to go through many iterations of design, implementation, and analysis. The…

Human-Computer Interaction · Computer Science 2021-03-10 Yi-Chi Liao

Analysis is a key part of usability testing where UX practitioners seek to identify usability problems and generate redesign suggestions. Although previous research reported how analysis was conducted, the findings were typically focused on…

Human-Computer Interaction · Computer Science 2022-04-07 Emily Kuang , Xiaofu Jin , Mingming Fan

Two-dimensional, resonant scanners have been utilized in a large variety of imaging modules due to their compact form, low power consumption, large angular range, and high speed. However, resonant scanners have problems with non-optimal and…

Image and Video Processing · Electrical Eng. & Systems 2023-05-05 Zhanghao Sun , Ronald Quan , Olav Solgaard

Autonomous laparoscopic camera control must maintain a stable and safe surgical view under rapid tool-tissue interactions while remaining interpretable to surgeons. We present a strategy-grounded framework that couples high-level…

Robotics · Computer Science 2026-02-25 Keyu Zhou , Peisen Xu , Yahao Wu , Jiming Chen , Gaofeng Li , Shunlei Li

Purpose: Gaze-following, the task of inferring where individuals are looking, has been widely studied in computer vision, advancing research in visual attention modeling, social scene understanding, and human-robot interaction. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Keqi Chen , Séraphin Baributsa , Lilien Schewski , Vinkle Srivastav , Didier Mutter , Guido Beldi , Sandra Keller , Nicolas Padoy