Results 161 to 170 of about 21,064,207 (295)
Real-Time 6D Pose Estimation and Multi-Target Tracking for Low-Cost Multi-Robot System. [PDF]
Shan B, Zhao D, Zhao R, Hiroshi Y.
europepmc +1 more source
Multi-Robot Perception and Action: World Modeling and Task Allocation
Multi-Robot Systems (MRS) is one research area where Artificial Intelligence and robotic techniques can be efficiently integrated. In this paper, we attempt to highlight some common aspects of the robotic and AI literature ...
LAZARO GRANON, MARIA TERESA +3 more
core
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Multi-Robot System for Cooperative Tidying Up with Mobile Manipulators and Transport Agents. [PDF]
Yi JB, Nasrat S, Song D, Kim J, Yi SJ.
europepmc +1 more source
Challenges in Development of Real Time Multi-Robot System Using Behaviour Based Agents
This paper presents a case-study regarding development challenges of multi-agent system for multi-robot system management based on our previous research of the given topic.
Liekna, Aleksis +2 more
core
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Toward a Generic Framework for Mission Planning and Execution with a Heterogeneous Multi-Robot System. [PDF]
Denguir M, Touir A, Gazdar A, Qasem S.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source

