Results 151 to 160 of about 58,776 (261)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
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

EMDS-7-FSCIL: a benchmark for Few-Shot Class-Incremental Learning in environmental microorganism recognition. [PDF]

Front Microbiol
Zhou J, Zhang Y, Xu S, Hu Y, Zeng J, Yin Y.   +5 more
europepmc   +1 more source

Incremental Learning of Human Activities in Smart Homes. [PDF]

Sensors (Basel), 2022
Chua SL, Foo LK, Guesgen HW, Marsland S.
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
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, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

IViT: An Incremental Learning Method for Object Detection of Hidden Hazards in Transmission Line Corridors. [PDF]

Sensors (Basel)
Li M, Fan K, Luo P, Liu J.
europepmc   +1 more source

Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration. [PDF]

Entropy (Basel), 2023
Zhang W, Gu X.
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
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, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Hierarchical incremental learning deciphers molecular arrangements in multi-component materials. [PDF]

Nat Commun
Zhang H, Lin N, Evans AM, Wang T, Pratik SM, Bredas JL, Li H.   +6 more
europepmc   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
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, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Pursuing Better Representations: Balancing Discriminability and Transferability for Few-Shot Class-Incremental Learning. [PDF]

J Imaging
Li Q, Wang W, Fan H, Hui B, Wen F.
europepmc   +1 more source