Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source
A Taxonomic Framework Based on Machine Learning for Unsupervised Anomaly Detection in Healthcare Data. [PDF]
Schneider GA +5 more
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Improvement of Artificial Hummingbird Algorithm with Greedy Fitness-Distance Balance Method and Its Application to Load Frequency Control. [PDF]
Aslanov T +3 more
europepmc +1 more source
Systematic Exploration of 3D Concrete Printing Parameters for Conformal Printing on Sloped Surfaces
A conformal slicing algorithm is developed for robotic 3D concrete printing (3DCP) on sloped surfaces as a first step toward printing slab‐on‐grade foundations on uneven terrain. Systematic experiments quantify the effects of nozzle speed, extrusion rate, and toolpath direction on filament dimension and stability.
Paniz Farrokhsiar +2 more
wiley +1 more source
Optimal Sensor Placement for Bridge Structural Health Monitoring: A Systematic Review with Bibliometric Analysis and Methodological Quality Assessment. [PDF]
Rodríguez Wlack GL +4 more
europepmc +1 more source
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source
Efficient Hamiltonian, structure and trace distance learning of Gaussian states. [PDF]
Fanizza M, Rouzé C, Stilck França D.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Forming efficient agent groups for completing complex tasks
In this paper we produce complexity and impossibility results and develop algorithms for a task allocation problem that needs to be solved by a group of autonomous agents working together.
David, E. +3 more
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