Tallinn University of Technology

Bachelor Thesis

Topic 

Supervisors

Keywords

Description

Material development for reducing or avoiding biofouling on flow sensors

Asko Ristolainen /
Asya Drenkova-Thutan

Hydromast, flow sensing

link to PDF

DFM for water quality loggers

Asko Ristolainen /
Jeffrey Tuhtan

Water quality, environmental sensing

link to PDF

User Interface for underwater wireless sensor network

Lauri Vihman /
Jeffrey Tuhtan /
Asko Ristolainen

Underwater sensor network, water quality,
system architecture, software development 

link to PDF

A modular array of small scale bioinspired
flow sensors

Asko Ristolainen

Hydromast, flow sensing,  Lakhsmi

link to PDF

ROS software modules for small biomimetic
underwater vehicles

Jaan Rebane

Underwater Robotics, ROS, Software
Development, μ-CATs 

link to PDF

Master Thesis

Topic

Supervisors

Keywords

Description

A modular array of small scale bioinspired flow sensors

Asko Ristolainen

Hydromast, Flow Sensing, Lakhsmi

link to PDF

Digital signal processing of custom-made echo sounders

Jaan Rebane

Underwater Robotics, Digital Signal Processing, Echo Sounders, Sonars, U-CAT

link to PDF

Development of perception and navigation software - navigation aided by geological sensors

Laura Piho, Roza Gkliva

Data Acquisition, Sensor Fusion, ROS2, Autonomy

link to PDF

Development of perception and navigation software – Autonomous ‘whisker’-sensor based navigation for mapping

Laura Piho, Roza Gkliva

Data Acquisition, Sensor Fusion, ROS2, Autonomy

link to PDF

Development of control software for a small-scale mining robot

Roza Gkliva, Asko Ristolainen

Behaviour-Based Control, Mobile Robotics, ROS2, Autonomy

link to PDF

Gait generation on a quadruped robot

Simon Godon

Gait generation, legged robot, control, ROS

link to PDF

Signal processing, feature detection, and data validation of low-cost sensing drifter data

Laura Piho

Signal Processing, Feature Detection, Data Analysis

link to PDF

Task-oriented optimization of swarm robots navigation using reinforcement learning

Yuya Hamamatsu

Robotics, Swarm, Machine learning, Reinforcement learning, Optimization

link to PDF