scholarly journals Manipulation of chirurgical robot by means of a natural interface

Author(s):  
HF Vargas-Rosero
Keyword(s):  
2021 ◽  
Vol 3 (6) ◽  
Author(s):  
John Akagi ◽  
T. Devon Morris ◽  
Brady Moon ◽  
Xingguang Chen ◽  
Cameron K. Peterson

Abstract Directing groups of unmanned air vehicles (UAVs) is a task that typically requires the full attention of several operators. This can be prohibitive in situations where an operator must pay attention to their surroundings. In this paper we present a gesture device that assists operators in commanding UAVs in focus-constrained environments. The operator influences the UAVs’ behavior by using intuitive hand gesture movements. Gestures are captured using an accelerometer and gyroscope and then classified using a logistic regression model. Ten gestures were chosen to provide behaviors for a group of fixed-wing UAVs. These behaviors specified various searching, following, and tracking patterns that could be used in a dynamic environment. A novel variant of the Monte Carlo Tree Search algorithm was developed to autonomously plan the paths of the cooperating UAVs. These autonomy algorithms were executed when their corresponding gesture was recognized by the gesture device. The gesture device was trained to classify the ten gestures and accurately identified them 95% of the time. Each of the behaviors associated with the gestures was tested in hardware-in-the-loop simulations and the ability to dynamically switch between them was demonstrated. The results show that the system can be used as a natural interface to assist an operator in directing a fleet of UAVs. Article highlights A gesture device was created that enables operators to command a group of UAVs in focus-constrained environments. Each gesture triggers high-level commands that direct a UAV group to execute complex behaviors. Software simulations and hardware-in-the-loop testing shows the device is effective in directing UAV groups.


2020 ◽  
Author(s):  
Ramesh K. Jha ◽  
Allison Yankey ◽  
Kalifa Shabazz ◽  
Leslie Naranjo ◽  
Nileena Velappan ◽  
...  

ABSTRACTWhile natural protein-protein interactions have evolved to be induced by complex stimuli, rational design of interactions that can be switched-on-demand still remain challenging in the protein design world. Here, we demonstrate a computationally redesigned natural interface for improved binding affinity could further be mutated to adopt a pH switchable interaction. The redesigned interface of Protein G-IgG Fc domain, when incorporated with histidine and glutamic acid on Protein G (PrG-EHHE), showed a switch in binding affinity by 50-fold when pH was altered from mild acidic to mild basic. The wild type (WT) interface only showed negligible switch. The overall binding affinity at mild acidic pH for PrG-EHHE outperformed the WT PrG interaction. The new reagent PrG-EHHE will be revolutionary in IgG purification since the traditional method of using an extreme acidic pH for elution can be circumvented.Abstract Figure


2012 ◽  
Vol 256-259 ◽  
pp. 298-301
Author(s):  
Shu Hong Dai ◽  
Ying Sun ◽  
Zi Xian Dong

Interfacial slip in rock was studied utilizing digital image correlation method (DICM). Notched rock specimens consisting of a natural interface under three point bending were employed for researching the characters and mechanisms of the interfacial slip. The displacement and strain fields on the surface of specimen were measured accurately by DICM. The experimental results show that the interfacial slip can change the crack extension direction and mode. The results are helpful in researching the mechanism of interfacial slip and practical applications in rock fracture problems.


Author(s):  
Kristin Potter ◽  
David Johnson ◽  
Elaine Cohen

Reverse engineering of mechanical systems often begins with large datasets produced from laser scanning of physical artifacts. Commonly it is necessary to remove noise and filter them; however, selecting noisy regions and preserving sharp edges on desired features is difficult using standard GUI interfaces. We demonstrate a haptic interface for marking and preserving features in noisy data and for performing local smoothing operations. The force-feedback provides a natural interface for these operations.


Author(s):  
Marius Brade ◽  
Mandy Keck ◽  
Thomas Gründer ◽  
Mathias Müller ◽  
Rainer Groh
Keyword(s):  

1989 ◽  
Vol 23 (4-5) ◽  
pp. 411-422 ◽  
Author(s):  
M. Zock ◽  
A. Laroui ◽  
G. Francopoulo

2021 ◽  
Author(s):  
Ramesh Johari ◽  
Pete Koomen ◽  
Leonid Pekelis ◽  
David Walsh

A/B tests are typically analyzed via frequentist p-values and confidence intervals, but these inferences are wholly unreliable if users endogenously choose samples sizes by continuously monitoring their tests. We define always valid p-values and confidence intervals that let users try to take advantage of data as fast as it becomes available, providing valid statistical inference whenever they make their decision. Always valid inference can be interpreted as a natural interface for a sequential hypothesis test, which empowers users to implement a modified test tailored to them. In particular, we show in an appropriate sense that the measures we develop trade off sample size and power efficiently, despite a lack of prior knowledge of the user’s relative preference between these two goals. We also use always valid p-values to obtain multiple hypothesis testing control in the sequential context. Our methodology has been implemented in a large-scale commercial A/B testing platform to analyze hundreds of thousands of experiments to date.


Author(s):  
Nicoletta Adamo-Villani ◽  
Bedřich Beneš ◽  
Matt Brisbin ◽  
Bryce Hyland

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