Results 261 to 270 of about 130,220 (362)

Localizability based path planning on occupancy grid maps

Advanced Robotics
Takuma Nakahara, Yoshitaka Hara, Sousuke Nakamura   +2 more
openaire   +1 more source

Electronic Structure Reorganization in MPS3 via d‐Shell‐Selective Alkali Metal Doping

Advanced Science, EarlyView.
Alkali metal doping of layered MPS3 antiferromagnets reveals d‐shell‐selective responses. While MnPS3 resists charge transfer due to its half‐filled 3d5 shell, FePS3 and NiPS3 behave similarly to CoPS3 by accommodating extra d‐electrons. Yet only CoPS3, with its least stable d‐shell, undergoes pronounced band restructuring and a semiconducting‐to ...
Jonah Elias Nitschke, Preeti Bhumla, Till Willershausen, Patrick Merisescu, David Maximilian Janas, Lasse Sternemann, Michael Gutnikov, Karl Schiller, Valentin Mischke, Michele Capra, Mira Sophie Arndt, Silvana Botti, Mirko Cinchetti   +12 more
wiley   +1 more source

3V-GM: A Tri-Layer "Point-Line-Plane" Critical Node Identification Algorithm for New Power Systems. [PDF]

Entropy (Basel)
Dai Y, Zhao M, Zhang G, Zhao T.
europepmc   +1 more source

Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids [PDF]

Carlos Sepúlveda, Gonzalo A. Ruz
openalex  

GRACE: A Unified 2D Multi-Robot Path Planning Simulator & Benchmark for Grid, Roadmap, And Continuous Environments

Chuanlong Zang, Anna Mannucci, Isabelle Barz, Philipp Schillinger, Florian Lier, Wolfgang Hönig   +5 more
openalex   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

An energy aware Q-learning framework for comprehensive coverage path planning in unknown complex environments. [PDF]

Sci Rep
Xue Y, Tan CK, Wong WP.
europepmc   +1 more source

Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Advanced Science, EarlyView.
By integrating single‐nuclei and spatial transcriptomics, this study presents a stereoscopic landscape of maize leaf to Puccinia polysora infection. Epidermal and mesophyll cells initiate primary defenses via RLPs/RLKs and jasmonic acid signaling. Cell‐cell communication analyses further reveal the underlying the dynamics of the underlying immune ...
Qiongqiong Wang, Xinyan Sun, Yingchao Sun, Zeqiang Cheng, Zixiang Cheng, Shengbo Han, Ying Feng, Wenbo Yang, Huimin Li, Meichen Zhu, Xiaoling Wu, Jinghua Zhang, Jihua Tang, Honglian Li, Yanyong Cao, Canxing Duan, Yan Shi   +16 more
wiley   +1 more source

An Euler Graph-Based Path Planning Method for Additive Manufacturing Thin-Walled Cellular Structures of Continuous Fiber-Reinforced Thermoplastic Composites. [PDF]

Polymers (Basel)
Liu G, Wang F, Tu Q, Hu N, Ouyang Z, Wei W, Yang L, Yan C.   +7 more
europepmc   +1 more source

Single‐Cell Metabolic Imaging and Digital Scoring of Fat Tissue Remodeling by Label‐Free Metabolic Microscopy

Advanced Science, EarlyView.
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim, Constantin Berger, Alexander Wolf, Alina Peteranderl, Martin Klingenspor, Vasilis Ntziachristos, Yongguo Li, Miguel A. Pleitez   +7 more
wiley   +1 more source