Results 131 to 140 of about 10,393,605 (252)
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
HUMAN-MACHINE COLLABORATION FOR MEDICAL IMAGE SEGMENTATION. [PDF]
Ravanbakhsh M +6 more
europepmc +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Rethinking Work in Industry 5.0: Leveraging Technology for an Ageing Workforce
The workforce in many industries is ageing. With longer life expectancy and extended retirement ages, the proportion of older workers is growing, leading to challenges such as reduced physical and cognitive abilities.
Gaia Vitrano, Guido J. L. Micheli
doaj +1 more source
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Designing for meaningful human control in military human-machine teams
This chapter proposes methods for analysis, design and evaluation of Meaningful Human Control (MHC) for defence technologies from the perspective of military human-machine teaming (HMT). Our approach is based on three principles.
Bosch, K. van den +3 more
core
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
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel +3 more
wiley +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
Human–Machine Collaboration for Organizations: A Review
Intelligent robots are becoming more and more common in the workplace and in society as a result of the digital economy’s explosive growth. Human–machine collaboration (HM-C) has replaced human–machine coexistence and cooperation in the case of ...
Yadav, Manish, Tiwari, Saurabh
core +1 more source

