We present a control design for N unmanned aerial vehicles (UAVs) tasked with an
inspection of M ground moving vehicles. The location of each ground vehicle is known to …

We propose a control architecture with the aim of providing a firm touch of a soft
somatosensitive actuator (SSA) finger with an object. The two main components of the …

For accurate and effective automatic vehicle identification, morphological detection and
deep convolutional networks were combined to propose a method for locating and …

Target tracking in urban environments using a fixed-wing unmanned aerial vehicle (UAV) is
challenging due to the line of sight obstructions which are caused by buildings. Even with a …

View Video Presentation: https://doi. org/10.2514/6.2021-1229. vid Autonomous battle
management requires the synthesis of optimal strategies which also consider the …

The paper proposes a novel training approach for a neural network to perform switching
among an array of computationally generated stochastic optimal feedback controllers. The …

We present a method for feedback controlling a soft finger actuator and detecting" touch", ie,
contact with an object in the environment. While this work uses our pneumatic elastomeric …

The aim of this paper is to explore potential of feedback control design based on a switching
composition of two controllers. The paper considers two stochastic optimal controllers for the …

We propose a novel training approach for neural networks based on switching among an
array of feedback controllers (FC). Traditionally, the neural network training implemented in …

The environment around an autonomously navigated vehicle can have an
unpredictablenumber of other vehicles and stationary or moving obstacles that may or may …