Autonomous robot ... efficient data collection are crucial aspects that determine the effectiveness of these robotic systems. Based on the content of two detailed research papers, let’s delve into two ...

Abstract: The intersection of robotics and artificial intelligence led to a profound paradigm shift in Robot Learning. Robots have the capacity to replicate human actions and also dynamically adapt, ...

The dataset aims to facilitate research in scalable robot learning. This updated dataset is compatible ... two RGB cameras with poses that are randomized during data collection, and an RGB camera ...

Title Towards Developing Adaptive Robot Controllers for Children with Upper Limb Impairments - Initial Data Collection and Analysis ...

collecting sufficient offline training trajectories for robot learning is particularly expensive since valid control actions are required. Therefore, most existing robotic datasets are collected from ...

"Our paper was inspired by the growing need for scalable data collection in robotics, particularly in the area of mobile manipulation," Jeannette Bohg, supervising author of the paper, told Tech ...

Abstract: Exploiting the promise of recent advances in imitation learning for mobile manipulation will require the collection of large numbers of human-guided demonstrations. This paper proposes an ...

AI and robots need data — lots of it. Companies that have millions of users have an advantage in this data collection ... Regular robot imitation learning requires painstaking teleoperation ...

"One of the annoying things about working with robots is collecting so much data on the robot doing different ... The hope with this approach, a branch of machine learning called "imitation ...