The state of industrial robotics: Emerging technologies, challenges, and key research directions
L Sanneman, C Fourie, JA Shah - Foundations and Trends® …, 2021 - nowpublishers.com
Robotics and related technologies are central to the ongoing digitization and advancement
of manufacturing. In recent years, a variety of strategic initiatives around the world including …
of manufacturing. In recent years, a variety of strategic initiatives around the world including …
Interactive imitation learning in robotics: A survey
Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …
igibson 2.0: Object-centric simulation for robot learning of everyday household tasks
Recent research in embodied AI has been boosted by the use of simulation environments to
develop and train robot learning approaches. However, the use of simulation has skewed …
develop and train robot learning approaches. However, the use of simulation has skewed …
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …
significant promise for capturing expert motor skills through efficient imitation, facilitating …
Human-in-the-loop imitation learning using remote teleoperation
Imitation Learning is a promising paradigm for learning complex robot manipulation skills by
reproducing behavior from human demonstrations. However, manipulation tasks often …
reproducing behavior from human demonstrations. However, manipulation tasks often …
Error-aware imitation learning from teleoperation data for mobile manipulation
In mobile manipulation (MM), robots can both navigate within and interact with their
environment and are thus able to complete many more tasks than robots only capable of …
environment and are thus able to complete many more tasks than robots only capable of …
A vision-based virtual fixture with robot learning for teleoperation
Teleoperation plays a key role for semi-automated tasks with high complexity in remote
working environment. By integrating the interaction information and control strategy, the …
working environment. By integrating the interaction information and control strategy, the …
[HTML][HTML] Mixed-reality-enhanced human–robot interaction with an imitation-based mapping approach for intuitive teleoperation of a robotic arm-hand system
This paper presents an integrated mapping of motion and visualization scheme based on a
Mixed Reality (MR) subspace approach for the intuitive and immersive telemanipulation of …
Mixed Reality (MR) subspace approach for the intuitive and immersive telemanipulation of …
The effects of a robot's performance on human teachers for learning from demonstration tasks
Learning from Demonstration (LfD) algorithms seek to enable end-users to teach robots new
skills through human demonstration of a task. Previous studies have analyzed how robot …
skills through human demonstration of a task. Previous studies have analyzed how robot …
Path planning for manipulation using experience-driven random trees
Robotic systems may frequently come across similar manipulation planning problems that
result in similar motion plans. Instead of planning each problem from scratch, it is preferable …
result in similar motion plans. Instead of planning each problem from scratch, it is preferable …