Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

It currently implements various rigid-body dynamics algorithms, including forward and inverse dynamics, as well as contact models based on impulse-level LCP and force-based nonlinear spring-dampers.

Alphabet’s Intrinsic has debuted its AI-powered "Intelligence Cell" to simplify factory automation and eliminate complex ...

Maker's Pet has launched oomwoo, an open-source robot vacuum that owners build themselves.

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

This is the repository of Robotic Arm Motion Planning Simulation Based on Reinforcement Learning. I use fire console to run my code, so use the following commands to ...

Abstract: The configuration of most robotic systems lies in continuous transformation groups. However, in mobile robot trajectory tracking, many recent works still naively utilize optimization methods ...

This article presents new features of pytransform3d, a Python library for working with rigid transformations in 3D that helps to tackle these difficulties. Specifically, we show applications of its ...

Abstract: Lower limb Rehabilitation Robots (LLRRs) assist in therapeutic tasks that involve gait recovery and joint mobility recovery of the lower limbs, in patients recovering from neurologic ...