Results 181 to 190 of about 125,496 (300)

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Novel control strategies for electric vehicle charging stations using stochastic modeling and queueing analysis. [PDF]

Sci Rep
Varshney S, Panda KP, Shah M, Srinivas BA, Deshmukh A, Choudhary KK, Bajaj M, Prokop L, Rubanenko O.   +8 more
europepmc   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms. [PDF]

Sensors (Basel)
Damodarin UM, Cardarilli GC, Di Nunzio L, Re M, Spanò S.   +4 more
europepmc   +1 more source

Multidirectional Motion Strategy of Miniature Water Surface Robot Actuated by Single Exciter

Advanced Robotics Research, EarlyView.
A novel multidirectional motion strategy on the water surface based on a single exciter is proposed, and a single‐exciter single‐plate module is developed for actuation. The driving forces generation mechanism of the module is revealed from the perspective of the asymmetric surface wave field.
Haoxuan He, Dehong Wang, Jing Li, Shijing Zhang, Yingxiang Liu   +4 more
wiley   +1 more source

A high-resolution electric vehicle charging transaction dataset with multidimensional features in China. [PDF]

Sci Data
Zhang Y, Xu T, Chen T, Hu Q, Chen H, Hu X, Jiang Z.   +6 more
europepmc   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction. [PDF]

Sci Data
Li H, Qu H, Tan X, You L, Zhu R, Fan W.
europepmc   +1 more source

Allosteric Modulation of Pathological Ataxin‐3 Aggregation: A Path to Spinocerebellar Ataxia Type‐3 Therapies

Advanced Science, EarlyView.
This study uncovers a new allosteric site in the Josephin domain of ataxin‐3 targeted by the molecular tweezer CLR01, which modulates protein aggregation, improves synaptic function in neuronal cells, and delays motor dysfunction in animal models.
Alexandra Silva, Sara Duarte‐Silva, Pedro M. Martins, Beatriz Rodrigues, Débora Serrenho, Daniela Vilasboas‐Campos, Andreia Teixeira‐Castro, Julio Vieyto‐Nuñez, Joel Mieres‐Perez, Francisco Figueiredo, Martyna Podlasiak, Tatiana Van‐der‐Kellen, Joana Fraga, James Noble, Carter Lantz, Niki Sepanj, Daniela Monteiro‐Fernandes, Sara Guerreiro, Andreia Neves‐Carvalho, Joana Pereira‐Sousa, Frank‐Gerrit Klärner, Thomas Schrader, Joseph A. Loo, Annalisa Pastore, Elsa Sanchez‐Garcia, Gal Bitan, Ana Luísa Carvalho, Patrícia Maciel, Sandra Macedo‐Ribeiro   +28 more
wiley   +1 more source

Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition. [PDF]

Sci Rep
Li H, Tang M, Cao J, Yang T, Wang C, Jiang Y.   +5 more
europepmc   +1 more source