The Robot Report

NVIDIA shares how to evaluate general-purpose robot policies for real-world deployment

Real-world testing is expensive, slow, and difficult to reproduce. For a robot’s performance in the real world to be ...
Tech Xplore on MSN

AI agents create virtual playgrounds to help robots get crucial training data

Robots walking down the street, surrounded by astounded onlookers, are an increasingly common sight. But these machines ...
Interesting Engineering

World’s first open-source simulator expands access to advanced space robotics research

NASA and Rice University launch an open-source simulator that lets researchers develop and test spacecraft robots in a ...
IEEE

Benchmarking Model Predictive Control and Reinforcement Learning-Based Control for Legged Robot Locomotion in MuJoCo Simulation

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...