Results 51 to 60 of about 2,033 (182)
We mapped whole‐brain inputs and outputs of PIC GABAergic neurons. This study revealed that PIC GABAergic neurons receive dense inputs from the isocortex and thalamus and send strong projections to the basal ganglia and amygdala, with these regions constituting key hubs of the connectivity network.
Wan‐Qiao Qi +6 more
wiley +1 more source
On-Device Intelligence for AI-Enabled Bio-Inspired Autonomous Underwater Vehicles (AUVs)
This paper introduces an innovative approach to underwater exploration by integrating Artificial Intelligence (AI) into Autonomous Underwater Vehicles (AUVs). This collaboration between AI and biomimicry marks a new era for AUVs, enabling them to emulate
Aryan Anand +4 more
doaj +1 more source
Consensus Control of Multiple AUVs Recovery System Under Switching Topologies and Time Delays
The consensus control of multiple AUVs recovery system is the key to complete the multi-AUV recovery mission. This paper proposes consensus control of multiple AUVs recovery system under switching communication topologies and time delays including input ...
Wei Zhang +5 more
doaj +1 more source
A novel approach for in situ benthic habitat characterization
Abstract Habitat heterogeneity is a key driver of temporal and spatial variability of subtidal marine benthic biodiversity. However, this makes it a challenging environment in which to measure and quantify the factors driving biodiversity in a consistent manner.
Ryan J. W. Mathews +4 more
wiley +1 more source
As an emerging direction of multi-agent collaborative control technology, multiple autonomous underwater vehicle (multi-AUV) cooperative area search technology has played an important role in civilian fields such as marine resource exploration and ...
Yueming Li +5 more
doaj +1 more source
Robust Formation Control for Multiple Underwater Vehicles
This paper addresses the distance-based formation control problem for multiple Autonomous Underwater Vehicles (AUVs) in a leader-follower architecture. The leading AUV is assigned a task to track a desired trajectory and the following AUVs try to set up ...
Charalampos P. Bechlioulis +4 more
doaj +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Bionic Tactile Skins for Robotics: Fundamentals, Advances, and Future Prospects
ABSTRACT Robotic bionic tactile skins (RBTSs), as crucial components of next‐generation robotic systems, have attracted significant attention in recent years. By enabling robots to achieve human‐like tactile perception and interact effectively with their surroundings, RBTSs play an essential role in enhancing robotic intelligence.
Jiajun Wu +8 more
wiley +1 more source
Boundary Control Behaviors of Multiple Low-Cost AUVs Using Acoustic Communication
This study presents acoustic-based methods for the formation control of multiple autonomous underwater vehicles (AUVs). This study proposes two different models for implementing boundary and path control on low-cost AUVs using acoustic communication and ...
Mohammed Tarnini +5 more
doaj +1 more source
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka +79 more
wiley +1 more source

