Autonomous Wireless Charging System for Robot Swarms: Robot Control and Navigation

The goal of this thesis is to develop a ROS package that facilitates the control and navigation of a Duckiebot robot. With the rise of robot swarms the need for autonomous charging system for robots is increasing. An implementation for decentralised autonomous behaviour for a Duckiebot for a wireless charging system in a Duckietown environment...

Real Time State Estimation of Surgical Energy Devices for Use in an Integrated Operating Room

Integrated operating rooms (OR) have shown to be promising in meeting the challenges created by the increased complexity in the OR, by improving the quality of care, simplifying the clinical workflows, and reducing equipment-related incidents and surgical errors. Although several systems that integrate medical devices have been developed,...

Large Scale In-Database Machine Learning Using Cloud Native Workflows

During the last decade, the proliferation of smartphones, social media and streaming services has provoked an explosion of multimedia data. This large amount of image and video sources combined with more powerful and inexpensive computational capabilities brought by the cloud computing paradigm has facilitated the rapid growth of new machine...

Investigation of Alignment Methods and Its Effect on Mechanical Performance of Discontinuous Tow-based Composites: An experimental design study

Composites are used in applications where the combination of low density and high stiffness is wanted, as can be frequently found in the aerospace industry. Within the composites family, discontinuous fiber composites (DFC) started to gain interest in the aerospace and automotive industry, due to their potential for high production rates. In...

Towards the detection of driver–pedestrian eye contact

Non-verbal communication, such as eye contact between drivers and pedestrians, has been regarded as one way to reduce accident risk. So far, studies have assumed rather than objectively measured the occurrence of eye contact. We address this research gap by developing an eye contact detection method and testing it in an indoor experiment with...

The applicability of deep learning to detect the progress of laparoscopic surgery using video recordings

The operating room is one of the most complex and expensive environments in the hospital. Research has been focusing on improving the efficient use of the OR time, for instance by using intraoperative data to update the planning of the OR during the day. This thesis used a deep learning network to automatically recognize surgical tools and pre...

Tip-on-a-chip: Automatic dotting with glitter ink pen for individual identification of tiny parts

This paper presents a new identification system for tiny parts that have no space for applying conventional ID marking or tagging. The system marks the parts with a single dot using ink containing shiny particles. The particles in a single dot naturally form a unique pattern. The parts are then identified by matching microscopic images of...