This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
Statistical Evidence for Bimodal Age Distribution in Pediatric Orchiopexy: Support for Congenital and Acquired Cryptorchidism Subtypes. [PDF]
Ohashi K, Yoshizawa S, Kogure K.
europepmc +1 more source
Multimodal Locomotion of Soft Robots
This review comprehensively surveys recent advances in multimodal locomotion within soft robotics. Typical locomotion modes are summarized and categorized. Furthermore, the underlying mechanisms enabling multimodal locomotion are discussed and classified into three primary categories: active control‐based, reconfiguration‐based, and environment ...
Zihao Yuan +4 more
wiley +1 more source
Drivers of diversity within and between microbial communities during stochastic assembly. [PDF]
Marrec L, Bank C.
europepmc +1 more source
The Bulge Radial Velocity Assay for RR Lyrae Stars (BRAVA-RR) DR2: A Bimodal Bulge? [PDF]
Andrea Kunder +13 more
openalex +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Possible bimodality in the age distribution of pediatric functional neurological disorder. [PDF]
Nishi A, Azuma H.
europepmc +1 more source
Interstellar Glycolaldehyde, Methyl Formate, and Acetic Acid. I. A Bimodal Abundance Pattern in Star-forming Regions [PDF]
Samer J. El-Abd +5 more
openalex +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Large Data Set Analysis Reveals Structural Origin of Peptide Collisional Cross Section Bimodal Behavior. [PDF]
Xu AM +3 more
europepmc +1 more source

