4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.RO2020★ 1 cited
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
Jonas Tjomsland, Sinan Kalkan, Hatice Gunes
To date, endowing robots with an ability to assess social appropriateness of their actions has not been possible. This has been mainly due to (i) the lack of relevant and labelled…
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…
cs.RO2019★ 4 cited
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
Jonas Tjomsland, Ali Shafti, A. Aldo Faisal
We present a robotic setup for real-world testing and evaluation of human-robot and human-human collaborative learning. Leveraging the sample-efficiency of the Soft Actor-Critic al…