Zobrazeno 1 - 10
of 592
pro vyhledávání: '"Hager Gregory D."'
Image-based reinforcement learning (RL) faces significant challenges in generalization when the visual environment undergoes substantial changes between training and deployment. Under such circumstances, learned policies may not perform well leading
Externí odkaz:
http://arxiv.org/abs/2407.16842
Autor:
Wang, Weiyao, Hager, Gregory D.
Deploying machine learning algorithms for robot tasks in real-world applications presents a core challenge: overcoming the domain gap between the training and the deployment environment. This is particularly difficult for visuomotor policies that uti
Externí odkaz:
http://arxiv.org/abs/2407.16820
In this work, we introduce the Virtual In-Hand Eye Transformer (VIHE), a novel method designed to enhance 3D manipulation capabilities through action-aware view rendering. VIHE autoregressively refines actions in multiple stages by conditioning on re
Externí odkaz:
http://arxiv.org/abs/2403.11461
Autor:
Vedula S. Swaroop, Hager Gregory D.
Publikováno v:
Innovative Surgical Sciences, Vol 2, Iss 3, Pp 109-121 (2017)
Healthcare in general, and surgery/interventional care in particular, is evolving through rapid advances in technology and increasing complexity of care, with the goal of maximizing the quality and value of care. Whereas innovations in diagnostic and
Externí odkaz:
https://doaj.org/article/1a8f3578a8b0407ba028e866c8734e43
Autor:
Abdelaal, Alaa Eldin, Van Rumpt, Rachelle, Zaman, Sayem Nazmuz, Tong, Irene, Jarc, Anthony, Gallia, Gary L., Ishii, Masaru, Hager, Gregory D., Salcudean, Septimiu E.
In this paper, we report our discovery of a gaze behavior called Quiet Eye (QE) in minimally invasive surgery. The QE behavior has been extensively studied in sports training and has been associated with higher level of expertise in multiple sports.
Externí odkaz:
http://arxiv.org/abs/2309.03395
Autor:
Liu, Xingtong, Li, Zhaoshuo, Ishii, Masaru, Hager, Gregory D., Taylor, Russell H., Unberath, Mathias
In endoscopy, many applications (e.g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry of the observed anatomy from a monocular endoscopic video. To this end
Externí odkaz:
http://arxiv.org/abs/2202.09487
Recent advances in latent space dynamics model from pixels show promising progress in vision-based model predictive control (MPC). However, executing MPC in real time can be challenging due to its intensive computational cost in each timestep. We pro
Externí odkaz:
http://arxiv.org/abs/2110.08239
Autor:
Wang, Ruolin, Bradley, Chris, Herbert, Patrick, Hou, Kaihua, Hager, Gregory D., Breininger, Katharina, Unberath, Mathias, Ramulu, Pradeep, Yohannan, Jithin
Publikováno v:
In Ophthalmology Glaucoma May-June 2024 7(3):222-231
Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue
Autor:
Pryor, Will, Barnoy, Yotam, Raval, Suraj, Liu, Xiaolong, Mair, Lamar, Lerner, Daniel, Erin, Onder, Hager, Gregory D., Diaz-Mercado, Yancy, Krieger, Axel
Real-time visual localization of needles is necessary for various surgical applications, including surgical automation and visual feedback. In this study we investigate localization and autonomous robotic control of needles in the context of our magn
Externí odkaz:
http://arxiv.org/abs/2105.09481
Current methods for Earth observation tasks such as semantic mapping, map alignment, and change detection rely on near-nadir images; however, often the first available images in response to dynamic world events such as natural disasters are oblique.
Externí odkaz:
http://arxiv.org/abs/2105.08229