Results 91 to 100 of about 26,958,960 (280)
LLM‐Integrated Human–Robot Interaction System for Microrobots
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
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich +4 more
wiley +1 more source
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
The theoretical conceptions of game-based learning are different from those of traditional instruction. Indeed, the classical approaches of needs and task analysis seem to be not appropriate for designing digital serious games as computer-supported ...
Gianvito D'Aprile +3 more
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
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
TradeAway : Collaborative Game Design and Development as a Learning Environment [PDF]
Learning games and game-based learning have been taken into use in various fields of education. Even though the use of learning games has been widely studied, not enough is known about how to pedagogically design game development projects as learning ...
Pöyry-Lassila, Päivi +2 more
core
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
With the development of mobile technology, mobile game-based learning has become an innovative teaching method that helps stimulate students’ intrinsic motivation.
Jing Yin Tan +2 more
doaj +1 more source
Understanding the Role of Achievements in Game-Based Learning
The objective of the current research was to examine whether one potentially effective gaming strategy—achievements—has a positive impact on learning in a game-based environment. An achievement in a video game is a reward or recognition earned by players
Lucas Blair +3 more
doaj +1 more source

