Results 211 to 220 of about 96,422 (267)
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Study on Creep Mechanical Properties of HTPB Solid Propellant. [PDF]
Jin L, Jia S, Zhang Z, An Z, Lu Z.
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Design optimization and stiffness-equivalent method for an integrated starter generator in aerospace applications. [PDF]
Han B +5 more
europepmc +1 more source
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Topology optimization design of excavator working device based on equivalent static loads. [PDF]
Zhang H, Shao XD, Jia MM, Ge XB, Li Y.
europepmc +1 more source
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley +1 more source
A biphasic modeling framework for arterial compressibility under steady axisymmetric deformation. [PDF]
Fujiwara T, Sugita S, Wada S, Otani T.
europepmc +1 more source
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip. [PDF]
Williams S, Whittaker M, Hardy M.
europepmc +1 more source

