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THP: Tensor-field-driven hierarchical path planning for autonomous scene exploration with depth sensors
It is challenging to automatically explore an unknown 3D environment with a robot only equipped with depth sensors due to the limited field of view....
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Link prediction in directed complex networks: combining similarity-popularity and path patterns mining
Discovering new relationships between entities in networked data is essential in various applications such as sociology, security, physics, and...
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Preference-based multi-objective multi-agent path finding
Multi-Agent Path Finding (MAPF) is a well-studied problem that aims to generate collision-free paths for multiple agents while optimizing a single...
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On Approximate Colored Path Counting
Given an ordinal tree T on n nodes in which each node is assigned a color from...
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Research of hybrid path planning with improved A* and TEB in static and dynamic environments
In this study, we introduce a new approach to path planning suitable for both static and dynamic environments. Our method combines the Obstacle...
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A Dynamic Parameter Adaptive Path Planning Algorithm
Path planning in complex environments has always been a focus of research for scholars both domestically and internationally. This study addresses...
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PDLB: Path Diversity-aware Load Balancing with adaptive granularity in data center networks
Modern data center topologies often take the form of a multi-rooted tree with rich parallel paths to provide high bandwidth. However, various path...
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A tube-based model predictive control method for intelligent vehicles path tracking
The traditional Model Predictive Control (MPC) algorithm, grounded in precise mathematical models, faces challenges attributed to uncertainties in...
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Honey bees find the shortest path: a collective flow-mediated approach
Honey bees ( Apis mellifera L.) are social insects that makes frequent use of volatile pheromone signals to collectively navigate unpredictable and...
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ERCP: speedup path planning through clustering and presearching
Path planning is an important task for robot motion, unmanned aerial vehicle obstacle avoidance, and smart cars. Sampling-based algorithms have...
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A Multi-strategy Enhanced Arithmetic Optimization Algorithm and Its Application in Path Planning of Mobile Robots
A multi-strategy enhanced arithmetic optimization algorithm called MSEAOA is proposed to address the issues of low population diversity, imbalanced...
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Root Causing MPI Workloads Imbalance Issues via Scalable MPI Critical Path Analysis
Analyzing performance of MPI application usually requires non-trivial approaches. Classical hotspot-based analysis is often misleading for such...
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Personalised meta-path generation for heterogeneous graph neural networks
Recently, increasing attention has been paid to heterogeneous graph representation learning (HGRL), which aims to embed rich structural and semantic...
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Dual-path temporal map optimization for make-up temporal video grounding
Make-up temporal video grounding (MTVG) aims to localize the target video segment, which is semantically related to a sentence describing a make-up...
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Machine-guided path sampling to discover mechanisms of molecular self-organization
Molecular self-organization driven by concerted many-body interactions produces the ordered structures that define both inanimate and living matter....
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UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm
Unmanned Aerial Vehicle (UAV) path planning is one of the core components of its entire autonomous control system. The main challenge lies in...
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Sketching the Krylov subspace: faster computation of the entire ridge regularization path
We propose a fast algorithm for computing the entire ridge regression regularization path in nearly linear time. Our method constructs a basis on...
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Future trends of path planning framework considering accident attributes for smart cities
Residents and visitors throughout the globe respect sophisticated route-guiding systems. Due to India’s complicated city design and transportation...
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A state-of-the-art review on topology and differential geometry-based robotic path planning—part I: planning under static constraints
Autonomous robotics has permeated several industrial, research and consumer robotic applications, of which path planning is an important component....
