Results 121 to 130 of about 1,436,804 (281)

Motion Planning for the On-orbit Grasping of a Non-cooperative Target Satellite with Collision Avoidance [PDF]

open access: yes, 2010
A method for grasping a tumbling noncooperative target is presented, which is based on nonlinear optimization and collision avoidance. Motion constraints on the robot joints as well as on the end-effector forces are considered.
Lampariello, Roberto
core  

µSlicer for Programmable Multimaterial 3D Printing

open access: yesAdvanced Science, EarlyView.
ABSTRACT Nature rarely builds with uniform materials; instead, it achieves exceptional performance by arranging composition and structure across multiple length scales. Mimicking such architectures has become increasingly feasible with additive manufacturing, and especially with multimaterial 3D printing, where complex structures with spatially varying
Daniel H. Meile   +5 more
wiley   +1 more source

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

open access: yesAdvanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang   +9 more
wiley   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

open access: yesAdvanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim   +11 more
wiley   +1 more source

Neutron Depth Profiling: The Core Link Connecting the Microscopic Mechanisms of Lithium‐Ion Batteries With Intelligent Design

open access: yesAdvanced Science, EarlyView.
Neutron depth profiling exploits the 6Li(n,3H)4He reaction to provide quantitative, isotope‐specific, depth‐resolved maps of lithium inside operating lithium‐ion batteries, directly linking lithium transport, dendrite growth and interfacial short‐circuiting to a physics‐informed machine‐learning roadmap that turns this non‐destructive operando ...
Yulong Zhang   +8 more
wiley   +1 more source

Safety Evaluation of Automatic Collision Avoidance Systems

open access: yesThe Journal of Japan Institute of Navigation, 2020
Shinya NAKAMURA, Naoki OKADA
openaire   +1 more source

A Single‐Capillary Open Microfluidic Probe for Robust and Versatile Spatial Multi‐Omics Using Ambient Mass Spectrometry Imaging

open access: yesAdvanced Science, EarlyView.
This study reports a knot‐shaped single‐capillary open microfluidic probe (Knot‐probe) for robust and versatile spatial omics, enabling ambient mass spectrometry imaging with high spatial resolution, throughput, and structure‐resolved capability. Knot‐probe mitigates the trade‐off between analytical performance and operational robustness, providing an ...
Xiangyu Zhu   +10 more
wiley   +1 more source

Bacillus Licheniformis‐Induced Cognitive Decline in Mice Linking Gut Microbiota Dysbiosis, Metabolic Perturbations, and Hippocampal Neuroinflammation

open access: yesAdvanced Science, EarlyView.
Chronic oral administration of specific probiotic strains triggers gut microbiota dysbiosis and systemic metabolic perturbations in mice. Multi‐omics profiling reveals subsequent hippocampal glial remodeling and neuroinflammation, which are linked to cognitive impairment.
Yibin Lin   +15 more
wiley   +1 more source

PathPlanning/MPPI-Collision-Avoidance: PeerJ CS Resubmit (May 2024)

open access: yes
<p>The code that accompanies the resubmission "Model Predictive Path Integral for Decentralized Multi-Agent Collision Avoidance" for PeerJ CS journal.
Stepan Dergachev
core   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

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