Results 151 to 160 of about 3,816,930 (251)

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

The International Association Training School Notes and Association Outlook (vol. 6 no. 7), July, 1897

open access: yes, 1897
The Association Training School Notes was published from February 1892 through July 1897 after which it was replaced by the Association Outlook and eventually the Association Seminar.
International Young Men's Christian Association Training School (Springfield, Mass.);
core  

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Course Report on On-Site Training on Traceability for Fish and Fishery Products in Thailand

open access: yes
The On-site Training on Traceability for Fish and Fishery Products in Thailand was held from 11 to 12 December 2024 at the Department of Fisheries, Thailand.

core  

The International Association Training School Notes (vol. 1 no. 1), February, 1892

open access: yes, 1892
This is the first edition of the Association Training School Notes. The Association Training School Notes was published from February 1892 through July 1897 after which it was replaced by the Association Outlook and eventually the Association Seminar ...
International Young Men's Christian Association Training School (Springfield, Mass.);
core  

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Report on the On-Site Training for Introduction of C-Hook for Bottom Longline [PDF]

open access: yes, 2008
Southeast Asian Fisheries Development Center, Training Department
core  

The International Association Training School Notes (vol. 3 no. 7), July, 1894

open access: yes, 1894
The Association Training School Notes was published from February 1892 through July 1897 after which it was replaced by the Association Outlook and eventually the Association Seminar.
International Young Men's Christian Association Training School (Springfield, Mass.);
core  

Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications

open access: yesAdvanced Robotics Research, EarlyView.
A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali   +6 more
wiley   +1 more source

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