AIMC Topic: Environment

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Structural Optimisation and Design of a Cable-Driven Hyper-Redundant Manipulator for Confined Semi-Structured Environments.

Sensors (Basel, Switzerland)
Structural optimisation of robotic manipulators is critical for any manipulator used in confined semi-structured environments, such as in agriculture. Many robotic manipulators utilised in semi-structured environments retain the same characteristics ...

Human mobile robot interaction in the retail environment.

Scientific data
As technology advances, Human-Robot Interaction (HRI) is boosting overall system efficiency and productivity. However, allowing robots to be present closely with humans will inevitably put higher demands on precise human motion tracking and predictio...

Multi-environment robotic transitions through adaptive morphogenesis.

Nature
The current proliferation of mobile robots spans ecological monitoring, warehouse management and extreme environment exploration, to an individual consumer's home. This expanding frontier of applications requires robots to transit multiple environmen...

Evaluation Model of New Socialist Countryside Construction Based on a Multilayer Neural Network in a Complex Environment.

Journal of environmental and public health
The creation of a deep neural network model with numerous hidden layers enables the layer-by-layer extraction of features from the input high-dimensional data, enabling the identification of the data's low-dimensional nested structure and the develop...

Prediction of drivers' impact on green supply chain management using deep learning algorithm.

Environmental science and pollution research international
Nowadays, for controlling the organizations' environmental impact and attaining performance enhancement in industries, green supply chain management (GSCM) plays a significant role. This work considers four major drivers and five primary dimensions f...

Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience.

Computational intelligence and neuroscience
As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and li...

Optimization Design of Street Public Space Layout on Account of Internet of Things and Deep Learning.

Computational intelligence and neuroscience
With the gradual improvement of material living standards, people have higher and higher requirements for the livability of modern cities. As an important component of urban construction, the optimal layout of street public space has gradually receiv...

Automatically Annotated Dataset of a Ground Mobile Robot in Natural Environments via Gazebo Simulations.

Sensors (Basel, Switzerland)
This paper presents a new synthetic dataset obtained from Gazebo simulations of an Unmanned Ground Vehicle (UGV) moving on different natural environments. To this end, a Husky mobile robot equipped with a tridimensional (3D) Light Detection and Rangi...

General Industrial Environment and Health Design Software Using a Small Data-Driven Neural Network Model.

Journal of environmental and public health
The developed enterprise intellectual brain neural network platform for industrial environment and health design driven by small data converts the wisdom knowledge of enterprise designers into data and helps enterprises retain design experience, accu...

Interactive Model of Rural Tourism and New Socialist Countryside Construction Using Deep Learning Technology.

Journal of environmental and public health
China has proposed two major measures to address the "three rural issues": the first is to abolish the agricultural tax, which has been in place for over 2000 years; the second is to propose the construction of a new socialist countryside, which woul...