Results 141 to 150 of about 119,993 (264)

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

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

Coulomb force-guided deep reinforcement learning for effective and explainable robotic motion planning. [PDF]

Front Robot AI
Song S, Bihl T, Liu J.
europepmc   +1 more source

Resolution-Optimal Motion Planning for Steerable Needles. [PDF]

IEEE Int Conf Robot Autom, 2022
Fu M, Solovey K, Salzman O, Alterovitz R.   +3 more
europepmc   +1 more source

CO2‐to‐CO Conversion in a Gas‐Fed, Zero‐Gap, PEM Electrolyzer Enabled by Polycations and Nitrogen‐Doped Carbon‐Supported Cobalt Nanoparticles

Advanced Functional Materials, EarlyView.
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow, Hsi‐Wen Wu, Aimin Li, Yalou Guo, Duhong Chen, Jie Zhang, Paul A. Webley   +6 more
wiley   +1 more source

Adaptive motion planning for legged robots in unstructured terrain using deep reinforcement learning. [PDF]

Sci Rep
Uddin MS.
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.
europepmc   +1 more source

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

Advanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin   +12 more
wiley   +1 more source

Data-driven acceleration of mixed-integer bilinear programs: a comparative study for robot motion planning. [PDF]

Front Robot AI
Lin X.
europepmc   +1 more source

A Study on Dynamic Motion Planning for Autonomous Vehicles Based on Nonlinear Vehicle Model. [PDF]

Sensors (Basel), 2022
Tang X, Li B, Du H.
europepmc   +1 more source