Knot/Knotting Practice in Craft and Space

Knot/knotting Practice in Craft and Space is a three part research-creation project that used a study of knotting techniques to locate craft in an expanded field of spatial practice. The first part consisted of practical, studio based exercises in which I worked with various natural and synthetic fibres to learn common knotting techniques. The second part was an art historical study that combined craft and architecture history with critical theory related to the social production of space. The third part was an exhibition of drawing and knotted objects titled Opening Closures. This document unifies the lines inquiry that define my project. The first chapter presents the art historical justification for knotting to be understood as a spatial practice. Nineteenth-century German architect and theorist Gottfried Semper’s idea that architectural form is derived from four basic material practices allies craft and architecture in my project and is the point of departure from which I make my argument. In the second chapter, to consider the methodological concerns of research-creation as a form of knowledge production and dissemination, I adopt the format of an instruction manual to conduct an analysis of knot types and to provide instructions for the production of several common knots. In the third chapter, I address the formal and conceptual underpinnings of each artwork presented in my exhibition. I conclude with a proposal for an expanded field of spatial practice by adapting art critic and theorist Rosalind Krauss’s well-known framework for assessing sculpture in 1960s.

Sydenham Street Revived: A Public Space Experiment

In 2015, the Sydenham Street Revived pop-up park project (SSR) transformed Sydenham Street between Princess and Queen Streets into a temporary pedestrian-only public space. The goal of the project was to test out the idea of permanently pedestrianizing this street section. But what did this urban experiment ultimately prove? Using video footage, photographs, and observations recorded before and during the project, this report analyzes the use of the space in order to evaluate the claim that SSR created a successful public space and to make recommendations for a permanent public space on Sydenham Street. Two research methods were used: quantitative data collection, consisting of headcounts of both pedestrians and stationary users of the space; and a qualitative observational survey, based on the criteria for successful public spaces developed by the Project for Public Spaces. Data collection occurred two days one week prior to the project, and two days during the project, on days that were similar in terms of temperature and weather. The research revealed that the SSR did create a successful public space, although additional research is needed in order to determine how the space would function as a public place throughout different seasons, to study the street closure’s impact on surrounding residents and businesses, and to understand how private commercial activity would influence use. Recommendations for a permanent public space on Sydenham Street include considerations for flexible street design and a continuous, barrier-free surface; ensuring that there is an abundance of places to sit; making opportunities for public and community-created art; and to improve walkability by connecting the grid using a mid-block walkway.

Towards Mapping of Rock Walls Using a UAV-Mounted 2D Laser Scanner in GPS Denied Environments

In geotechnical engineering, the stability of rock excavations and walls is estimated by using tools that include a map of the orientations of exposed rock faces. However, measuring these orientations by using conventional methods can be time consuming, sometimes dangerous, and is limited to regions of the exposed rock that are reachable by a human. This thesis introduces a 2D, simulated, quadcopter-based rock wall mapping algorithm for GPS denied environments such as underground mines or near high walls on surface. The proposed algorithm employs techniques from the field of robotics known as simultaneous localization and mapping (SLAM) and is a step towards 3D rock wall mapping. Not only are quadcopters agile, but they can hover. This is very useful for confined spaces such as underground or near rock walls. The quadcopter requires sensors to enable self localization and mapping in dark, confined and GPS denied environments. However, these sensors are limited by the quadcopter payload and power restrictions. Because of these restrictions, a light weight 2D laser scanner is proposed. As a first step towards a 3D mapping algorithm, this thesis proposes a simplified scenario in which a simulated 1D laser range finder and 2D IMU are mounted on a quadcopter that is moving on a plane. Because the 1D laser does not provide enough information to map the 2D world from a single measurement, many measurements are combined over the trajectory of the quadcopter. Least Squares Optimization (LSO) is used to optimize the estimated trajectory and rock face for all data collected over the length of a light. Simulation results show that the mapping algorithm developed is a good first step. It shows that by combining measurements over a trajectory, the scanned rock face can be estimated using a lower-dimensional range sensor. A swathing manoeuvre is introduced as a way to promote loop closures within a short time period, thus reducing accumulated error. Some suggestions on how to improve the algorithm are also provided.