Results 131 to 140 of about 11,274 (257)

Editorial: Pipeline inspection robots

Frontiers in Robotics and AI
Mihaylova, L., Kakogawa, A., Ma, S., Choi, H.R., Nakamura, T.   +4 more
openaire   +4 more sources

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

Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8-LSTM integration for real-time in-pipe navigation. [PDF]

Sci Rep
Elkholy H, Meligy R, Bassiuny AM, Mansour NA.   +3 more
europepmc   +1 more source

Development of dam inspection underwater robot

Proceedings of International Conference on Artificial Life and Robotics, 2019
Hirai, Hiroyasu, Ishii, Kazuo
openaire   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Scan Path Optimization and YOLO-Based Detection for Defect Inspection of Curved and Glossy Surfaces. [PDF]

Sensors (Basel)
Kim MG, Okwuosa CN, Hur JW.
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

A Real-Time Mobile Robotic System for Crack Detection in Construction Using Two-Stage Deep Learning. [PDF]

Sensors (Basel)
Ogun E, Voeurn YA, Lee D.
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

Robot-Assisted Oral Examination: Challenges and Innovations. [PDF]

Int Dent J
Ge Y, Wang W, Zhao T, Liu D, Fan S, Liu P, Li W, Sun H, Liu X.   +8 more
europepmc   +1 more source