Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Ann Majewicz"'
Autor:
Meenakshi Narayan, Ann Majewicz Fey
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2024)
Introduction: Preventive control is a critical feature in autonomous technology to ensure safe system operations. One application where safety is most important is robot-assisted needle interventions. During incisions into a tissue, adverse events su
Externí odkaz:
https://doaj.org/article/4be84fe9fdc64cdc9a3e14831861a413
Publikováno v:
Machines, Vol 11, Iss 6, p 667 (2023)
Gripping and manipulating objects using non-contact and low-contact technologies is becoming increasingly necessary in manufacturing. One of the promising contactless gripping technologies is Bernoulli gripping devices for industrial robots. They hav
Externí odkaz:
https://doaj.org/article/33d93bcd06c14ec2aa316218c43dceff
Publikováno v:
Robotics, Vol 11, Iss 6, p 140 (2022)
The application of additive technologies, namely, fused deposition modeling, is a new reality for prototyping gripping devices of industrial robots. However, during 3D printing of holes and nozzle elements, difficulties arise with reducing their diam
Externí odkaz:
https://doaj.org/article/2ed958369b80461e838e2299a9645797
Autor:
Meenakshi Narayan, Ann Majewicz Fey
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0230009 (2020)
Safety critical events in robotic applications can often be characterized by forces between the robot end-effector and the environment. One application in which safe interaction between the robot and environment is critical is in the area of medical
Externí odkaz:
https://doaj.org/article/93b7c4200d374b459a472525fbff685e
Autor:
Ziheng Wang, Ann Majewicz Fey
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0195053 (2018)
Quantitatively measuring the difficulty of a manipulation task in human-in-the-loop control systems is ill-defined. Currently, systems are typically evaluated through task-specific performance measures and post-experiment user surveys; however, these
Externí odkaz:
https://doaj.org/article/eca090b9225d4735954324589c60bc09
Objective technical skill assessment is crucial for effective training of new surgeons in robot-assisted surgery. With advancements in surgical training programs in both physical and virtual environments, it is imperative to develop generalizable met
Externí odkaz:
http://arxiv.org/abs/2304.14589
Surgical activity recognition and prediction can help provide important context in many Robot-Assisted Surgery (RAS) applications, for example, surgical progress monitoring and estimation, surgical skill evaluation, and shared control strategies duri
Externí odkaz:
http://arxiv.org/abs/2212.01683
Surgical skill directly affects surgical procedure outcomes; thus, effective training is needed to ensure satisfactory results. Many objective assessment metrics have been developed and some are widely used in surgical training simulators. These obje
Externí odkaz:
http://arxiv.org/abs/2101.00097
Providing an accurate and efficient assessment of operative difficulty is important for designing robot-assisted teleoperation interfaces that are easy and natural for human operators to use. In this paper, we aim to develop a data-driven approach to
Externí odkaz:
http://arxiv.org/abs/1906.04934
Autor:
Wang, Ziheng, Fey, Ann Majewicz
Publikováno v:
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Purpose: This paper focuses on an automated analysis of surgical motion profiles for objective skill assessment and task recognition in robot-assisted surgery. Existing techniques heavily rely on conventional statistic measures or shallow modelings b
Externí odkaz:
http://arxiv.org/abs/1806.05798