Inexact sequential quadratically constrained quadratic programming methods for convex programming
惇志 加藤
openalex +1 more source
Force control of two-wheel-steer four-wheel-drive vehicles using model predictive control and sequential quadratic programming for improved path tracking [PDF]
Qifan Tan +3 more
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During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques. [PDF]
Ram SS +3 more
europepmc +1 more source
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
A novel passive shimming optimization method of MRI magnet based on a PSA-SQP hybrid algorithm. [PDF]
Zhao J, Zhu M, Xia L, Fan Y, Liu F.
europepmc +1 more source
Enhanced Stutzer Index Optimization Using Hybrid Genetic Algorithm and Sequential Quadratic Programming [PDF]
Chun-Teck Lye
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Rewiring Droplet Interface Synapses
Droplet interface synapses are used to create a neuromorphic network. Voltage pulses draw the droplets into contact and enable rewiring of the network through electrowetting. Results show that the heterogeneous droplet compositions and pore‐forming molecules may be used to tune the neuromorphic properties of the device using trapped charge as a form of
Sarita Shrestha, Eric Freeman
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Walking Pattern Generation Through Step-by-Step Quadratic Programming for Biped Robots. [PDF]
Liu G, Lu Z, Zhang H, Liu Z.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source

