Karthick Thiyagarajan

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University of Sydney

Australia

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Recent Grants

Grant: Close

Robotic Field deployment and Scoping of the Phase 3

Open Date: 2023-07-01

Close Date: 2023-09-01

Grant: Close

Next-Generation Intelligent Robotic Mobility Aid for Vision Impaired People

Open Date: 2023-07-01

Close Date: 2026-06-01

Grant: Close

Feasibility of using Robotics for communication infrastructure deployment - Phase 2

Open Date: 2022-12-01

Close Date: 2023-06-01

Grant: Close

Reconfigurable Intelligent Surfaces

Open Date: 2022-11-01

Close Date: 2023-06-01

Grant: Close

Feasibility of using Robotics for communication infrastructure deployment - Phase 1

Open Date: 2022-03-01

Close Date: 2022-09-01

Articles (10)

Year:

2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Year:

2021

Year:

2020

Collaborators (1)

Sarath Kodagoda

University of Sydney

AUSTRALIA

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Karthick Thiyagarajan

Research Interests

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Contact this professor

Recent Grants

Articles (10)

Conformable packaging of a soft pressure sensor for tactile perception

PIPE-CovNet: Automatic In-Pipe Wastewater Infrastructure Surface Abnormality Detection Using Convolutional Neural Network

Ultrasonic thickness measuring in-pipe robot for real-time non-destructive evaluation of polymeric spray linings in drinking water pipe infrastructure

Ground Penetrating Radar Signal Characterization for Non-destructive Evaluation of Low-range Concrete Sub-surface Boundary Conditions

Deep Learning For Estimating Low-range Concrete Sub-surface Boundary Depths Using Ground Penetrating Radar Signals

Battery-Free UHF-RFID Sensors-Based SLAM for In-Pipe Robot Perception

A Novel UHF-RFID Dual Antenna Signals Combined With Gaussian Process and Particle Filter for In-Pipe Robot Localization

Stereo Vision Combined with Laser Profiling for Mapping of Pipeline Internal Defects

Surface Representation of Pulsed Eddy Current Sensor Signals for Improved Ferromagnetic Material Thickness Quantification

Robust Sensor Suite Combined with Predictive Analytics Enabled Anomaly Detection Model for Smart Monitoring of Concrete Sewer Pipe Surface Moisture Conditions

Collaborators (1)

Sarath Kodagoda

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