Stuart Eiffert
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View article: Resource and Response Aware Path Planning for Long-Term Autonomy of Ground Robots in Agriculture
Resource and Response Aware Path Planning for Long-Term Autonomy of Ground Robots in Agriculture Open
Achieving long-term autonomy for mobile robots operating in real-world, unstructured environments, such as farms, remains a significant challenge. Such tasks are made increasingly complex when undertaken in the presence of moving humans or…
View article: Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review Open
The growing world population has increased the demand for animal-sourced protein. However, animal farming productivity is faced with challenges from traditional farming practices, socioeconomic status, and climate change. In recent years, …
View article: Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture Open
Achieving long-term autonomy for mobile robots operating in real-world unstructured environments such as farms remains a significant challenge. This is made increasingly complex in the presence of moving humans or livestock. These environm…
View article: Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases Open
Autonomous vehicle navigation in shared pedestrian environments requires the ability to predict future crowd motion both accurately and with minimal delay. Understanding the uncertainty of the prediction is also crucial. Most existing appr…
View article: Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries
Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries Open
The majority of fatalities and traumatic injuries in heavy industries involve mobile plant and vehicles, often resulting from a lapse of attention or communication. Existing approaches to hazard identification include the use of human spot…
View article: A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming
A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming Open
Achieving long term autonomy of robots operating in dynamic environments such as farms remains a significant challenge. Arguably, the most demanding factors to achieve this are the on-board resource constraints such as energy, planning in …
View article: Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search Open
State of the art methods for robotic path planning in dynamic environments, such as crowds or traffic, rely on hand crafted motion models for agents. These models often do not reflect interactions of agents in real world scenarios. To over…
View article: Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks
Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks Open
Robotic navigation through crowds or herds requires the ability to both predict the future motion of nearby individuals and understand how these predictions might change in response to a robot's future action. State of the art trajectory p…