Results 201 to 210 of about 3,535,641 (305)

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Complete Issue Volume 4 Issue 2

open access: yesJournal of the Scholarship of Teaching and Learning, 2012
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

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

Volume 14, Number 5

open access: yesJournal of the Scholarship of Teaching and Learning, 2014
Editor Journal of the Scholarship of Teaching and Learning
doaj  

Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation

open access: yesAdvanced Robotics Research, EarlyView.
A magnetic tip mount is designed for a miniaturized 7 mm soft‐growing vine robot to enable wireless magnetic steering and onboard imaging, while preserving a 3 mm working channel. The internal–external ring magnets design balances magnetic attachment with low eversion pressure. Experiments demonstrate ±90° steering, 34 mm bending radius, and successful
Andrea Yanez Trujillo   +4 more
wiley   +1 more source

Complete Issue Volume 9 Issue 2

open access: yesJournal of the Scholarship of Teaching and Learning, 2009
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

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