AIMC Topic: Environment

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Working Pose and Layout Optimization of surgical robot.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
It is quite a challenge on positioning surgical robot to optimal place in a crowded and special environment. Compared with the structured industrial environment, the unstructured operating room (OR) environment brings higher requirements for safety o...
Robotics Operating Rooms Environment
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The neurobiology of deep reinforcement learning.

Current biology : CB Jun 8, 2020
In this primer, Ölveczky and Gershman review concepts and advances in deep reinforcement learning and discuss how these can inform the implementation of learning processes in biological neural networks.
Humans Animals Deep Learning Environment Reinforcement, Psychology
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Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees.

Animal science journal = Nihon chikusan Gakkaiho Jan 1, 2020
The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the dec...
Environment Milk Housing, Animal Dairying Animal Husbandry Time Factors Cattle Decision Trees Female Animals Robotics Lactation
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A more human approach to artificial intelligence.

Nature Jul 1, 2019
Computer Simulation Communication Virtual Reality Humans Neural Networks, Computer Artificial Intelligence Environment Cognition Robotics Culture
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Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Drawing inspiration from autonomous vehicles, using future environment information could improve the control of wearable biomechatronic devices for assisting human locomotion. To the authors knowledge, this research represents the first documented in...
Locomotion Exoskeleton Device Environment Artificial Limbs Prosthesis Design Automation Humans Neural Networks, Computer Algorithms Lower Extremity Robotics
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The case for technology investments in the environment.

Nature Dec 21, 2017
Fisheries Humans Earth, Planet Neural Networks, Computer Global Warming Forestry Environment Animals Investments Algorithms Spatio-Temporal Analysis Biodiversity Artificial Intelligence Technology Conservation of Natural Resources Software Water Supply Reproducibility of Results Agriculture Organizations
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Moisture content prediction in poultry litter using artificial intelligence techniques and Monte Carlo simulation to determine the economic yield from energy use.

Journal of environmental management Nov 1, 2017
The objective of this study is to determine the economic return of poultry litter combustion in boilers to produce bioenergy (thermal and electrical), as this biomass has a high-energy potential due to its component elements, using fuzzy logic to pre...
Biofuels Manure Monte Carlo Method Environment Poultry Artificial Intelligence Chickens Fuzzy Logic Animals
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An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments.

Journal of neural engineering Aug 1, 2017
OBJECTIVE: Many computer vision and robotic applications require the implementation of robust and efficient target-tracking algorithms on a moving platform. However, deployment of a real-time system is challenging, even with the computational power o...
Brain Animals Photic Stimulation Environment Robotics Odonata Insecta Pattern Recognition, Automated
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The plant perceptron connects environment to development.

Nature Mar 15, 2017
Plants cope with the environment in a variety of ways, and ecological analyses attempt to capture this through life-history strategies or trait-based categorization. These approaches are limited because they treat the trade-off mechanisms that underl...
Biological Evolution Plants Environment Plant Development Neural Networks, Computer Ecosystem Signal Transduction
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A neural network prediction of environmental determinants of Anopheles sinensis knockdown resistance mutation to pyrethroids in China.

Journal of vector ecology : journal of the Society for Vector Ecology Dec 1, 2016
Selection pressure caused by long-term intensive use of insecticides is the key driving force in resistance development. Additional parameters such as environmental conditions may affect both the mosquito response to insecticides and the selection of...
China Environment Neural Networks, Computer Animals Insecticide Resistance Mutation Anopheles Pyrethrins
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