Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"autonomous machine"”.
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Development of a low level autonomous machine
An autonomous machine is a machine that can navigate through its environment without human interactions. These machines use sensors to sense the environment and have computing abilities for receiving and interpreting the sensory data as well as for controlling their displacement. At the University …
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A Theory of Tort Liability for Autonomous-machine-caused Harm
… promise increased interaction between humans and autonomous machines, presenting novel risks of accidental harm to individuals and property. This thesis situates the problem of autonomous-machine-caused harm within tort law’s doctrinal and theoretical framework, conceived as a practice of …
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Autonomous Machine Vision for Off -Road Vehicles in Unstructured Fields
This research proved the feasibility of the machine vision applications in the three targeted problems, and has shown that machine vision is capable of navigating agricultural vehicles in open field environments.
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Autonomous machine vision for off-road vehicles in unstructured fields
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2009-11-23T22:49:28Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Wang_Qi.pdf: 4053834 bytes, checksum: 1815ebd53b3114955aa9e716b10fba3e (MD5) Wang_Qi.doc: 7308288 bytes, checksum: …
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Accelerating Material Inverse Design in High-Dimensional Continuous Spaces with Autonomous Machine Learning Ecosystems
… and configurations. In recent years, machine learning (ML) and artificial intelligence (AI) have emerged as promising tools. These techniques can create fast, predictive models and generate new design strategies, helping reduce computational cost while still delivering accurate and …
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Using machine learning for analysis of neuronal network activity
… may be slowed. We improve an existing, semi-autonomous machine learning pipeline for two-photon calcium imaging sequence analysis. We introduce to the pipeline neuron detection methods using supervised learning models, heuristic filtering of pixels for signal extraction, and event detection …
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Autonomous Multi-Sensor and Web-Based Decision Support for Crop Diagnostics in Greenhouse
An autonomous machine vision guided plant sensing and monitoring system was designed and constructed to continuously monitor plant related features: color (red-green-blue, hue-saturation-luminance, and color brightness), morphology (top projected canopy area), textural (entropy, energy, contrast, …
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Development of an Underground Automated Thin-Seam Coal Mining Method
… range of 14 to 28 inches. Research into autonomous machine guidance, coupled with developments of thin-seam mining equipment, offer new opportunities for devising mining layouts suitable for extracting these thin seams in a cost effective manner. These layouts must involve well-planned …
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A Heterosynaptic Spiking Neural System for the Development of Autonomous Agents
… to many problems in pattern recognition and machine learning. Through this history there has been an interplay between biologically inspired neural systems and their implementation by engineers on digital machines. This thesis concerns the third generation of neural networks, Spiking Neural …
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Inference and Learning in Spiking Neural Networks for Neuromorphic Systems
… scale and computational complexity of machine intelligence esp. in energy-limited systems such as Edge devices, Internet-of-Things (IOT), and cyber physical systems (CPS). Spiking neural network (SNN) is often studied together with neuromorphic computing as the underlying computational …
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Inference And Learning In Spiking Neural Networks For Neuromorphic Systems
… scale and computational complexity of machine intelligence esp. in energy-limited systems such as Edge devices, Internet-of-Things (IOT), and cyber physical systems (CPS). Spiking neural network (SNN) is often studied together with neuromorphic computing as the underlying computational …
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Exploring the current methods used to improve the safety of autonomous agricultural machines and evaluating the effectiveness and applicability of a more quantitative risk assessment method
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments
<p>Robots are no longer constrained to cages in factories and are increasingly taking on roles alongside humans. Before robots can accomplish their tasks in these dynamic environments, they must be able to navigate while avoiding collisions with pedestrians or other robots. Humans are able to move …