Results 31 to 40 of about 48,846 (286)

A ROS2 based communication architecture for control in collaborative and intelligent automation systems [PDF]

open access: yes, 2019
Collaborative robots are becoming part of intelligent automation systems in modern industry. Development and control of such systems differs from traditional automation methods and consequently leads to new challenges. Thankfully, Robot Operating System (
Bengtsson, Kristofer   +4 more
core   +3 more sources

Exploring the Role of Autonomous Trucks in Addressing Challenges within the Trucking Industry: A Comprehensive Review

open access: yesSystems
The trucking industry, a vital part of the economic structure, faces numerous challenges such as greenhouse gas emissions, labor-related issues, fluctuating fuel costs, and safety concerns.
Ali Hasiri, Amirhassan Kermanshah
doaj   +1 more source

Quantifying the Economic Case for Electric Semi-Trucks

open access: yes, 2018
There has been considerable interest in the electrification of freight transport, particularly heavy-duty trucks to downscale the greenhouse-gas (GHG) emissions from the transportation sector. However, the economic competitiveness of electric semi-trucks
Sripad, Shashank   +1 more
core   +2 more sources

Autonomous Trucks

open access: yesMOJ Applied Bionics and Biomechanics
A short review of the formation of the International Neural Networks Society (INNS) is followed by a research review of how Autonomous Trucks (AT) uses computational intelligence. Using the power of pairs of biological sensor structures -- “agree, signals; disagree, noise” for all weather conditions, and the modern lithium batteries, electrically ...
Larry Medsker, Harold Szu
openaire   +1 more source

Modelling Fresh Strawberry Supply "From-Farm-to-Fork" as a Complex Adaptive Network [PDF]

open access: yes, 2011
 The purpose of this study is to model and thereby enable simulation of the complete business entity of fresh food supply. A case narrative of fresh strawberry supply provides basis for this modelling. Lamming et al.
Engelseth, P., Karlsen, A., Verwaart, T.
core   +4 more sources

Autonomous mining dump trucks

open access: yesNEWS of the Ural State Mining University, 2020
Research aim is to reduce the costs of a mining company and the number of accidents by increasing the efficiency of the use of equipment and eliminating the human factor. Research methodology: analysis of possible areas of application of autonomous mining dump trucks and problems associated with this process. Results. Mining is carried out in difficult
openaire   +1 more source

Optimizing Autonomous Transfer Hub Networks: Quantifying the potential impact of self-driving trucks

open access: yesEURO Journal on Transportation and Logistics
Autonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHNs), which combine autonomous trucks on middle miles with human-driven trucks on the first and last miles ...
Chungjae Lee   +3 more
doaj   +1 more source

GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy

open access: yesAdvanced Science, EarlyView.
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu   +11 more
wiley   +1 more source

Ranking Opportunities for Autonomous Trucks Using Data Mining and GIS

open access: yesGeographies, 2023
The inefficiency of transporting goods contributes to reduced economic growth and environmental sustainability in a country. Autonomous trucks (ATs) are emerging as a solution, but the imbalance in the weight moved and ton-miles produced by long-haul and
Raj Bridgelall   +2 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

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