The "Dataset" folder contains the cube and cylinder data divided per class for 40 and 80 samples extracted from the grasp peaks. For each kind of objects we collected five classes, i.e. five hardness ...

Abstract: 3D Gaussian Splats (3DGSs) are 3D object models derived from multi-view images. Such “digital twins” are useful for simulations, virtual reality, E-commerce, robot policy fine-tuning, and ...

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off. Ajay has worked in tech ...

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

Object avoidance is a tough nut to crack on robot vacuums, but Narwal's new Flow 2 promises it has the best yet with a mix of on-board processing and AI cloud computing. Ajay has worked in tech ...

Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects—precisely the kinds of ...

Abstract: This paper introduces a cooperative and decentralized collision avoidance algorithm (CoDe) for small-scale UAV swarms consisting of up to three UAVs. CoDe improves energy efficiency of UAVs ...

When Apple released iOS 18.4 to everyone earlier this year, it came with a big upgrade to the Home app. Users can now add robot vacuums to HomeKit for the first time thanks to the Matter smart home ...