Results 121 to 130 of about 207,200 (261)

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced 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

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced 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, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
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, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

Is Pakistan Well‑Positioned in the Global Health Security Scenario? An Exploratory Qualitative Study with Policy Experts and Public Health Professionals. [PDF]

Ann Glob Health
Shaikh BT, Abdullah MA, Shaikh WQ, Sattar NY, Khan SA.   +4 more
europepmc   +1 more source

Experts at Networking? The Constrained Influence of Experts in Norwegian Policy-Networks

, 2019
The topic of this thesis is the system of public advisory commissions in Norway (NOU) and the social networks within that system. Analysing the NOU-system as a social network allows for several unexplored questions to be asked with regard to the structure of the network as a whole.
openaire   +1 more source

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

How do behavioral public policy experts see the role of complex systems perspectives? An expert interview study. [PDF]

Transl Behav Med
Puukko S, Heino MTJ, Kostamo K, Saurio K, Sniehotta FF, Hankonen N.   +5 more
europepmc   +1 more source

Expert discourse on Turkish climate policy

, 2021
Bu çalısma günümüz iklim degisikligi politikalarını, kalkınmanın sınırlandırılmasısorunsalını insanlıgın dogal süreçleri yönetmesi ve optimize etmesi ile asmayaçalısan yeni bir dönemin aynası olarak yorumluyor. Çalısma, Türkiye'de iklimdegisikligi alanında uzman 24 kamu görevlisi ve sivil toplum çalısanıyla, ki asamalıçevresel tutum ve politika ...
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