Results 121 to 130 of about 877,420 (310)
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Arbitration Case Law Update 2012 [PDF]
, 2012 Parties to arbitration agreements sometimes invoke the judicial system to litigate collateral issues arising out of the arbitration process, such as arbitrability of some or all of the claims, arbitrator bias, and award enforcement or vacatur.
Gross, Jill I
core +1 more source
Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges
Advanced Materials Technologies, EarlyView.This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz +2 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
The (Economic) Effects of Lay Participation in Courts – A Cross-Country Analysis [PDF]
Legal philosophers like Montesquieu, Hegel and Tocqueville have argued that lay participation in judicial decision-making would have benefits reaching far beyond the realm of the legal system narrowly understood.
Stefan Voigt
core +3 more sources
Advanced Robotics Research, EarlyView.Gut microbiota and biomarkers are linked to diseases like neurological disorders and metabolic syndromes. Ingestible capsule robots enable minimally invasive gut health assessment. This article proposes a promising direction for the advancement of capsule robots, integrating in situ sampling, real‐time diagnostics, and personalized therapy.
Xizong Chen +3 more
wiley +1 more source
Financial system structure and economic development: structure matters [PDF]
This paper investigates how the structure of a financial system-whether it is bank- or market-oriented-affects economic growth. In contrast to earlier research, which indicated that the financial system's structure is irrelevant for growth, the author ...
O. Emre Ergungor
core
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
Advanced Robotics Research, EarlyView.In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
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 +5 more
wiley +1 more source