AIMC Topic: Environment

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Application of time dependent probabilistic collision state checkers in highly dynamic environments.

PloS one Mar 23, 2015
When computing the trajectory of an autonomous vehicle, inevitable collision states must be avoided at all costs, so no harm comes to the device or pedestrians around it. In dynamic environments, considering collisions as binary events is risky and i...
Environment Models, Theoretical Algorithms Robotics Humans Accidents, Traffic Time Factors Bayes Theorem Probability Artificial Intelligence
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Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer.

IEEE transactions on neural networks and learning systems Mar 5, 2015
This paper develops an adaptive robust output feedback control scheme for dynamically positioned ships with unavailable velocities and unknown dynamic parameters in an unknown time-variant disturbance environment. The controller is designed by incorp...
Neural Networks, Computer Algorithms Humans Feedback Robotics Environment Ships Geographic Information Systems Nonlinear Dynamics
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Opportunistic Behavior in Motivated Learning Agents.

IEEE transactions on neural networks and learning systems Sep 30, 2014
This paper focuses on the novel motivated learning (ML) scheme and opportunistic behavior of an intelligent agent. It extends previously developed ML to opportunistic behavior in a multitask situation. Our paper describes the virtual world implementa...
Motivation Humans Machine Learning Environment Robotics Neural Networks, Computer
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Adaptive Neural Control of Nonaffine Systems With Unknown Control Coefficient and Nonsmooth Actuator Nonlinearities.

IEEE transactions on neural networks and learning systems Sep 26, 2014
This brief considers the asymptotic tracking problem for a class of high-order nonaffine nonlinear dynamical systems with nonsmooth actuator nonlinearities. A novel transformation approach is proposed, which is able to systematically transfer the ori...
Models, Statistical Nonlinear Dynamics Environment Neural Networks, Computer Machine Learning Feedback
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A hierarchical model of goal directed navigation selects trajectories in a visual environment.

Neurobiology of learning and memory Jul 29, 2014
We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model's fle...
Recognition, Psychology Spatial Navigation Neural Networks, Computer Environment Robotics Prefrontal Cortex Algorithms Entorhinal Cortex Neurons Models, Neurological Animals Humans Hippocampus Goals Visual Perception Motion Perception
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Innovations in Quail Welfare: Integrating Environmental Enrichment, Nutrition and Genetic Advances for Improved Health and Productivity.

Veterinary medicine and science Jul 1, 2025
The demand for ethical and sustainable poultry production is driving up the importance of quail welfare. Because quail meat and eggs are in high demand, quails are frequently kept in harsh production environments that may harm their health and well-b...
Animals Animal Welfare Animal Husbandry Animal Nutritional Physiological Phenomena Quail Environment
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Improvement in genomic prediction of maize with prior gene ontology information depends on traits and environmental conditions.

The plant genome Mar 1, 2025
Classical genomic prediction approaches rely on statistical associations between traits and markers rather than their biological significance. Biologically informed selection of genomic regions can help prioritize polymorphisms by considering underly...
Genome, Plant Models, Genetic Zea mays Gene Ontology Phenotype Environment Genetic Markers Genomics
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A criterion for assessing obstacle-induced environmental complexity in multi-robot coverage exploration.

PloS one Jan 1, 2025
In many applications, such as coverage exploration and search and rescue missions, accurately assessing environmental complexity is valuable for performance evaluation and algorithm adjustments. Despite this, in the context of multi-robot systems, qu...
Robotics Environment Algorithms
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A machine-learning approach to map landscape connectivity in with genetic and environmental data.

Proceedings of the National Academy of Sciences of the United States of America Mar 2, 2021
Mapping landscape connectivity is important for controlling invasive species and disease vectors. Current landscape genetics methods are often constrained by the subjectivity of creating resistance surfaces and the difficulty of working with interact...
Humans Machine Learning Animals Genetic Variation Aedes Mosquito Vectors Workflow Models, Biological Genetics, Population Environment Gene-Environment Interaction
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AI-Based Elderly Assistance Systems.

Studies in health technology and informatics Sep 4, 2020
The demographic change is no longer a prognosis, but a reality seen in everyday life situations and requires mechanisms to make the public and private space elderly-adequate. These required mechanisms need to consider the varying aging process for ea...
Aged Environment Humans Artificial Intelligence
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