Results 91 to 100 of about 197,668 (326)
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
High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source
Variational Bayesian Algorithms for Maneuvering Target Tracking with Nonlinear Measurements in Sensor Networks. [PDF]
Hu Y +5 more
europepmc +1 more source
Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach +5 more
wiley +1 more source
In order to improve the tracking accuracy and real-time performance of the optoelectronic tracking system, an improved kernelized correlation filter approach is developed to obtain precise tracking of a maneuvering object.
Fengfa Yue, Xingfei Li
doaj +1 more source
A Novel Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises. [PDF]
Ye X, Wang J, Wu D, Zhang Y, Li B.
europepmc +1 more source
A Dynamic Multiple Sensor for Radar Maneuvering Target Tracking Problems
[[abstract]]In view of the lack dynamicity in a traditional fixed sensor system, an algorithm of tracking multiple maneuvering targets in a dynamic sensor system is proposed in this paper.
Chung, Yi-Nung; Chou, Pao-Hua ; Chen, Hsin-Ta ; Chou, Feng-Pin
core
Novel Approach for Nonlinear Maneuvering Target Tracking Based on Input Estimation
In this paper, a new method for maneuvering target tracking (MTT) based on nonlinear input estimation (IE) is innovated and is employed for tracking of maneuvering targets.
Moosa Ayati +2 more
core +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
This paper is devoted to an improved adaptive "current" statistical(CS) model, aiming to improve the accuracy and robustness of tracking the powered phase of multi-stage ballistic missiles under unknown ballistic parameters. By introducing the Jerk model
YANG Ming +4 more
doaj +1 more source

