Results 111 to 120 of about 2,786,553 (287)

Learning from Crisis: COVID-19 Agenda and Policy Change and What it Means for a Future Research Agenda

International Review of Public Policy
The COVID-19 pandemic and crisis rapidly changed the public and policymaking agendas for governments worldwide. COVID-19 highlighted failures and problems associated with public health preparedness, economic vulnerability, emergency response protocols ...
Deserai Anderson Crow, Elizabeth A. Albright, Kristin Taylor, Rob DeLeo, Thomas Birkland, Elizabeth Shanahan   +5 more
doaj   +1 more source

Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning. [PDF]

Comput Intell Neurosci, 2023
Zhu Q, Sun H, Zhao Z, Liu Y, Zhao J.
europepmc   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Policy learning and change during crisis: COVID-19 policy responses across six states. [PDF]

Rev Policy Res, 2023
Crow DA, DeLeo RA, Albright EA, Taylor K, Birkland T, Zhang M, Koebele E, Jeschke N, Shanahan EA, Cage C.   +9 more
europepmc   +1 more source

Expectations, Learning and Monetary Policy: An Overview of Recent Research [PDF]

Expectations about the future are central for determination of current macroeconomic outcomes and the formulation of monetary policy. Recent literature has explored ways for supplementing the benchmark of rational expectations with explicit models of ...
George W. Evans, Seppo Honkapohja
core  

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

THE OMC IN THE EUROPEAN EMPLOYMENT POLICY: BRINGING SOCIALISATION IN [PDF]

CES Working Papers, 2011
This paper argues in favour of a more thorough analysis of a specific set of dynamics taking place in the Open Method of Coordination (OMC), the latter being conceived as an informal organizational framework aimed at mutual learning (de Burca and Zeitlin,
Matia Vannoni
doaj  

Too conspicuous to fail: Copenhagen’s urban redevelopment and obstacles to sustainable city policy learning [PDF]

Present Environment and Sustainable Development
In the face of global problems, efforts are being made to construct sustainable city role models. However, the very proliferation of self-proclaimed exemplars of sustainable urbanism over the past decades suggests that planners and decisionmakers still ...
Adam GRYDEHØJ , Ilan KELMAN, Ping SU
doaj   +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