Results 121 to 130 of about 51,039 (292)
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
Continuous-time iterative linear-quadratic regulator
6 pages, 3 figures, submitted March 31, 2025, to Decision and Control (CDC 2025)
Juraj Lieskovský +2 more
openaire +2 more sources
Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari +6 more
wiley +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
EMBEDDED CONTROLLER BUILDING FOR BALL AND BEAM SYSTEM USING OPTIMAL CONTROL SYNTHESIS [PDF]
The controller design for the Ball and Beam system is particularly crucial in the aviation fields due to its likeness to the aircraft control during the flight and landing under turbulent.
B. M. HUNG +3 more
doaj
Improving stability margins in discrete-time LQG controllers [PDF]
Some of the problems are discussed which are encountered in the design of discrete-time stochastic controllers for problems that may adequately be described by the Linear Quadratic Gaussian (LQG) assumptions; namely, the problems of obtaining acceptable ...
Oranc, B. Tarik, Phillips, Charles L.
core +1 more source
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Attitude UAV Stability Control Using Linear Quadratic Regulator-Neural Network (LQR-NN)
The stability of an Unmanned Aerial Vehicle (UAV) attitude is crucial in aviation to mitigate the risk of accidents and ensure mission success. This study aims to optimize and adaptively control the flight attitude stability of a flying wing-type UAV ...
Oktaf Agni Dhewa +4 more
doaj +1 more source
The application of quadratic optimal cooperative control synthesis to a CH-47 helicopter [PDF]
A control-system design method, Quadratic Optimal Cooperative Control Synthesis (CCS), is applied to the design of a Stability and Control Augmentation Systems (SCAS).
Townsend, Barbara K.
core +1 more source

