Tomato greenhouses are becoming test beds for a new kind of farm worker, one that does not just grab every red fruit in sight ...

Tomato vines can look calm from a distance. Up close, they feel like a crowded maze. Fruit hangs in clusters. Stems twist in ...

Abstract: We propose a novel framework for data-efficient black-box robot learning under constraints. Our approach integrates probabilistic inference with Lagrangian optimization. With the guide of a ...

The Chinese government is betting that robots will drive economic growth. But the bots can’t really do much yet. By Meaghan Tobin and Xinyun Wu Reporting from Taipei, Taiwan Robots made by Chinese ...

This project implements a probabilistic search and rescue robot simulator. It simulates a 2D environment where autonomous robots must explore an unknown maze, generate a map using noisy sensors, ...

Abstract: We present prior knowledge robot keypoint detection (PK-ROKED), a learning-based pipeline for probabilistic robot pose estimation relative to a camera, addressing inaccuracies in forward ...

Serve Robotics (SERV) aims to deploy 2,000 robots by end of 2025 and launch in Chicago as its fifth metro area. Serve grew merchant partners from 1,500 to over 2,500 last quarter including a national ...

The Mag Seven stocks have lots to gain by getting into robotics. But there’s an incentive to look at the robotics pure-plays. Symbiotic has been hot of late, but there’s still plenty of gas left in ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...

An artificial intelligence tool, developed about three years ago by famed Indigenous artist Norval Morrisseau’s estate and two art-loving professors, analyzes art pieces and determines the probability ...