A Predictable Obstacle Avoidance Model Based on Geometric Configuration of Redundant Manipulators for Motion Planning. [PDF]
Sensors (Basel), 2023 Ju F, Jin H, Wang B, Zhao J.
europepmc +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Coulomb force-guided deep reinforcement learning for effective and explainable robotic motion planning. [PDF]
Front Robot AISong S, Bihl T, Liu J.
europepmc +1 more source
A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning. [PDF]
Sensors (Basel), 2022 Liu Y, Zhao Y, Yan S, Song C, Li F.
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An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells
Advanced Functional Materials, EarlyView.Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio +8 more
wiley +1 more source
Motion planning of cleaning robot based on 3D vision. [PDF]
Sci ProgWang L +5 more
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Resolution-Optimal Motion Planning for Steerable Needles. [PDF]
IEEE Int Conf Robot Autom, 2022 Fu M +3 more
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Advanced Functional Materials, EarlyView.A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Adaptive motion planning for legged robots in unstructured terrain using deep reinforcement learning. [PDF]
Sci RepUddin MS.
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A Study on Dynamic Motion Planning for Autonomous Vehicles Based on Nonlinear Vehicle Model. [PDF]
Sensors (Basel), 2022 Tang X, Li B, Du H.
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