Results 11 to 20 of about 1,043,176 (270)

Main challenges and opportunities to dynamic road space allocation: From static to dynamic urban designs

open access: yesJournal of Urban Mobility, 2021
Urban planning has focused on reallocating road space from automobile to more sustainable transport modes in many cities worldwide. Mostly in urban areas, road space (from façade to façade) is highly disputed by different urban activities and functions ...
Gabriel Valença   +2 more
doaj   +1 more source

Hybrid RRT: A Semi-Dual-Tree RRT-Based Motion Planner

open access: yesIEEE Access, 2020
Rapidly-exploring Random Trees (RRTs) have been widely used for motion planning problems due to their ability to efficiently find solutions. Informed RRT* is an optimized version of RRT, which not only implements the rewiring process to optimize the tree
Reza Mashayekhi   +3 more
doaj   +1 more source

Search Space Reduction for the Thermal Unit Commitment Problem through a Relevance Matrix

open access: yesEnergies, 2022
Given the combinatorial explosion related to the operation decisions in the thermal unit commitment problem, this paper presents a new strategy to reduce the search space and to start the multi-modal optimization process.
Layon Mescolin de Oliveira   +2 more
doaj   +1 more source

Militarization and Weaponization of Outer Space and its Impact on I.R.Iran's Military Security With futures studies approach [PDF]

open access: yesعلوم و فنون نظامی, 2019
Through the history and after more than 58 years, the use of outer space for military purpose has always been the first priority for many countries during the beginning of the space age to achieve space science and technology.
Saeid Madadi, Zakareya Kazempour
doaj   +1 more source

Robotic Arm Trajectory Planning Method Using Deep Deterministic Policy Gradient With Hierarchical Memory Structure

open access: yesIEEE Access, 2023
Traditional robotic arm path planning methods are mainly carried out in the tool center point operation space, and frequently solve inverse kinematics problems, thus consuming a large number of computational resources.
Di Zhao   +4 more
doaj   +1 more source

Identifying and Exploiting Features for Effective Plan Retrieval in Case-Based Planning [PDF]

open access: yes, 2015
Case-Based planning can fruitfully exploit knowledge gained by solving a large number of problems, storing the corresponding solutions in a plan library and reusing them for solving similar planning problems in the future.
Gerevini, Alfonso Emilio   +3 more
core   +2 more sources

Fast Bidirectional Motion Planning for Self-Driving General N-Trailers Vehicle Maneuvering in Narrow Space

open access: yesIEEE Open Journal of Intelligent Transportation Systems, 2023
Self-driving General N-trailers (GNT) vehicles are one of the future solutions to build intelligent factory due to its flexibility and large load. Maneuvering of GNT vehicle to its destination requires accurate and robust motion planning.
Hanyang Zhuang   +5 more
doaj   +1 more source

Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions [PDF]

open access: yes, 2015
The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for multi-robot coordination problems, but ...
Agha-mohammadi, Ali-akbar   +3 more
core   +4 more sources

Space-planning Solutions for New Type of Retail and Warehouse Buildings

open access: yesIOP Conference Series: Materials Science and Engineering, 2021
Abstract Modern trade formats require changes to the typology of trade buildings. New titles and space-planning solutions emerge to build new trade and warehouse buildings. This article deals with the analysis and identification of the specific features of space-planning solutions for such buildings.
openaire   +1 more source

Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search

open access: yes, 2020
Efficient driving in urban traffic scenarios requires foresight. The observation of other traffic participants and the inference of their possible next actions depending on the own action is considered cooperative prediction and planning. Humans are well
Fechner, Marcus   +2 more
core   +1 more source

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