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 …
behaviors are very good predictors of their needs, and hence technology companies can …
Parallel transportation in TransVerse: From foundation models to DeCAST
Rapid development of AI technologies has propelled the seamless integration of physical
and cyber worlds with various kinds of online/offline information collected from millions of …
and cyber worlds with various kinds of online/offline information collected from millions of …
Prescribed-Time Adaptive Fuzzy Optimal Control for Nonlinear Systems
The prescribed-time optimal control problem for nonlinear systems is investigated in this
article. First, a transformation function is constructed, which includes the system state and a …
article. First, a transformation function is constructed, which includes the system state and a …
Curiosity-driven attention for anomaly road obstacles segmentation in autonomous driving
The inability of semantic segmentation methods to detect anomaly road obstacles not pre-
defined in the datasets significantly hinders the safety-critical application in autonomous …
defined in the datasets significantly hinders the safety-critical application in autonomous …
Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models
With the growing prevalence of autonomous vehicles and the integration of intelligent and
connected technologies, the demand for effective and reliable vehicle speed control …
connected technologies, the demand for effective and reliable vehicle speed control …
Exploring the design of reward functions in deep reinforcement learning-based vehicle velocity control algorithms
The application of deep reinforcement learning (DRL) techniques in intelligent transportation
systems garners significant attention. In this field, reward function design is a crucial factor …
systems garners significant attention. In this field, reward function design is a crucial factor …
A behavior-based adaptive dynamic programming method for multiple mobile manipulators coordination control
In this work, a behavior-based adaptive dynamic programming (BADP) method is proposed
for coordination control of unmanned ground vehicle-manipulator systems (UGVMs) …
for coordination control of unmanned ground vehicle-manipulator systems (UGVMs) …
Integrated planning and control for formation reconfiguration of multiple spacecrafts: A predictive behavior control approach
This paper addresses the trajectory planning and control problem of multi-spacecraft
formation reconstruction in the presence of obstacles. By expressing spacecraft dynamics …
formation reconstruction in the presence of obstacles. By expressing spacecraft dynamics …
Multi-agent reinforcement learning behavioral control for nonlinear second-order systems
Z Zhang, J Huang, C Pan - Frontiers of Information Technology & …, 2024 - Springer
Reinforcement learning behavioral control (RLBC) is limited to an individual agent without
any swarm mission, because it models the behavior priority learning as a Markov decision …
any swarm mission, because it models the behavior priority learning as a Markov decision …
Pre-equalization scheme for visible light communications with trial-and-error learning
S Li, Y Zou, F Liu, J Song - Optics Letters, 2024 - opg.optica.org
In this Letter, we propose a novel, to the best of our knowledge, neural network pre-
equalizer based on the trial-and-error (TE) mechanism for visible light communication. This …
equalizer based on the trial-and-error (TE) mechanism for visible light communication. This …