公开(公告)号：US20250090707A1

公开(公告)日：2025-03-20

申请号：US18967136

申请日：2024-12-03

Applicant: University of South Florida

Inventor： Ying Zhong ,  Subhra Mohapatra ,  Shyam Mohapatra ,  Ehsan Sheybani ,  Tansel Yucelen

IPC: A61L2/24 ,  A61L2/03

Abstract: An autonomous pathogen detection and disinfection mobile platform having a small footprint, such that embodiments of the platform are deployable within interior spaces such as hospital, clinics, and other healthcare facilities. The platform includes a detection chamber that efficiently identifies a presence of a pathogen, such as a microorganism. The platform also includes a disinfection discharge component, such as a discharge needle, that treats a surface that includes a presence of a pathogen. As an autonomous mobile device, the platform includes sensors, cameras, or similar devices to detect surrounding surfaces, such that a computing device disposed on the platform plots a dynamic path for the platform based on received feedback.

公开(公告)号：US11692857B2

公开(公告)日：2023-07-04

申请号：US17878262

申请日：2022-08-01

Applicant: UNIVERSITY OF SOUTH FLORIDA

Inventor： Dzung Minh Duc Tran ,  Tansel Yucelen ,  Selahattin Burak Sarsilmaz

IPC: G01D18/00 ,  G01D21/02 ,  G01P3/00

CPC classification number: G01D18/004 ,  G01P3/00

Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.

公开(公告)号：US20240069544A1

公开(公告)日：2024-02-29

申请号：US18456444

申请日：2023-08-25

Applicant: UNIVERSITY OF SOUTH FLORIDA

Inventor： Emre Yildirim ,  Tansel Yucelen

IPC: G05D1/00

CPC classification number: G05D1/0027 ,  G05D1/0022

Abstract: Methods and systems for control of multiagent networks with misbehaving vehicles over directed network topologies are disclosed. The methods and systems include: identifying a plurality of possible misbehaving vehicles among a plurality of vehicles in the networked multiagent system, determining a directed sub-network of a subset of the plurality of vehicles based on a first directed communication path of a first possible misbehaving vehicle of the plurality of possible misbehaving vehicles to a first vehicle and a second directed communication path of a driver vehicle of the plurality of vehicles to the first vehicle; and implementing a proportional-integral controller for suppressing an effect of the misbehaving vehicle on the networked multiagent system. Other aspects, embodiments, and features are also claimed and described.

公开(公告)号：US11562269B1

公开(公告)日：2023-01-24

申请号：US16530301

申请日：2019-08-02

Applicant: University of South Florida

Inventor： Selahattin Burak Sarsilmaz ,  Tansel Yucelen ,  Tyler Ray Oswald

IPC: G06F17/11 ,  G06N5/04

Abstract: Disclosed is a multiagent system with agents in communication with each other via a communication network. The agents have heterogeneous time-invariant dynamics such that all of the agents have a primary set of synchronization roles that are different from a secondary set of synchronization roles of a subset of the agents.

公开(公告)号：US20220390480A1

公开(公告)日：2022-12-08

申请号：US17878262

申请日：2022-08-01

Applicant: UNIVERSITY OF SOUTH FLORIDA

Inventor： Dzung Minh Duc Tran ,  Tansel Yucelen ,  Selahattin Burak Sarsilmaz

IPC: G01P3/00

Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.