The front lines tell only part of the story. As Ukraine and Russia expand long-range strike campaigns, this analysis explores ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

CEO Andy Lonsberry explains how Path Robotics applies AI to welding, and UC San Diego professor Michael Yip discusses robot ...

A fire alarm jolts you from your office desk, and you head for the nearest exit. But what if the closest exit has already been blocked by the fire? Researchers at the National Institute of Standards ...

The task of gently transporting a microscopic particle from one point to another along a winding path, and then bringing it back using nothing more than a single, compact chip is a challenge we set ...

USB microphones have come a long way. There was once a time when the term conjured images of flimsy, foam-capped conference mics with the sonic signature of a wasp trapped in a can of soda – but ...

Read about types of businesses, how to start one, and how to get a business loan Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides ...

This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments. For additional details, please ...

Abstract: This study designed, developed, and evaluated a deep-learning-based companion robot prototype for indoor navigation and obstacle avoidance using an RGB-D camera as the sole input sensor.

In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky ...