A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges

Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …

Can language models be used for real-world urban-delivery route optimization?

Y Liu, F Wu, Z Liu, K Wang, F Wang, X Qu - The Innovation, 2023 - cell.com
Language models have contributed to breakthroughs in interdisciplinary research, such as
protein design and molecular dynamics understanding. In this study, we reveal that beyond …

Field evaluation of path-planning algorithms for autonomous mobile robot in smart farms

J Pak, J Kim, Y Park, HI Son - IEEE Access, 2022 - ieeexplore.ieee.org
Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …

GMR-RRT*: Sampling-based path planning using gaussian mixture regression

J Wang, T Li, B Li, MQH Meng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile robot autonomous path planning is an essential factor for its wide deployment in real-
world applications. Conventional sampling-based algorithms have gained tremendous …

Feature selection-based decision model for UAV path planning on rough terrains

H Ali, G Xiong, MH Haider, TS Tamir, X Dong… - Expert Systems with …, 2023 - Elsevier
Path planning and obstacle avoidance in 3D terrain have been identified as a monumental
challenge for a UAV in a variety of autonomous missions, such as disaster management …

Differentiable automatic data augmentation by proximal update for medical image segmentation

W He, M Liu, Y Tang, Q Liu… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Dear editor, This letter presents an automatic data augmentation algorithm for medical
image segmentation. To increase the scale and diversity of medical images, we propose a …

Generation of Ship's passage plan using data-driven shortest path algorithms

HT Lee, HM Choi, JS Lee, H Yang, IS Cho - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, an approach for generating the shortest-distance passage plan for a ship is
proposed considering the navigable area obtained based on automatic identification system …

Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at Airports

Z Sun, B Lei, P Xie, F Liu, J Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Robots have become increasingly prevalent in dynamic and crowded environments such as
airports and shopping malls. In these scenarios, the critical challenges for robot navigation …

NR-RRT: Neural risk-aware near-optimal path planning in uncertain nonconvex environments

F Meng, L Chen, H Ma, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Balancing the trade-off between safety and efficiency is of significant importance for path
planning under uncertainty. Many developed risk-aware path planners explicitly limit the …

Enhance connectivity of promising regions for sampling-based path planning

H Ma, C Li, J Liu, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Sampling-based path planning algorithms usually implement uniform sampling methods to
search the state space. However, uniform sampling may lead to unnecessary exploration in …