IEEE

Robust Predictive Motion Planning by Learning Obstacle Uncertainty

Abstract: Safe motion planning for robotic systems in dynamic environments is nontrivial in the presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in predicting ...
Deep Learning with Yacine on MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...
Deep Learning with Yacine on MSN

Build K-Nearest Neighbors from Scratch in Python – Step by Step Tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
IEEE

Coverage Path Planning of Heterogeneous Unmanned Aerial Vehicles Based on Dual-Stage Genetic Algorithm

Abstract: To address the increasing complexity of modern autonomous applications, heterogeneous unmanned aerial vehicles(UAVs) with solid robustness and high ...