activity
20162022
most citedDot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation

52 citations · 101 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.RO2020

Real-World Human-Robot Collaborative Reinforcement Learning

Ali Shafti, Jonas Tjomsland, William Dudley +1

The intuitive collaboration of humans and intelligent robots (embodied AI) in the real-world is an essential objective for many desirable applications of robotics. Whilst there is…