A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction
By Dylan P. Losey, Craig G. Mcdonald, Edoardo Battaglia, Marcia Kilchenman O'Malley. 2018
382 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cognitive Neuroscience, Rehabilitation
View Paper: https://www.semanticscholar.org/paper/1aa03424303f2fc0c05b76a84faf54d0adb8c0a2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Dorsa Sadigh
- Dylan P. Losey
- Ajay Mandlekar
- Animesh Garg
- Krishnan Srinivasan
- Yiannis Demiris
- Brenna D. Argall
- Siddarth Jain
In Cognitive Neuroscience
- Dorsa Sadigh
- Brenna D. Argall
- Siddarth Jain
- Yiannis Demiris
- Animesh Garg
- Krishnan Srinivasan
- Dylan P. Losey
- Ajay Mandlekar
In Rehabilitation
- Dorsa Sadigh
- Dylan P. Losey
- Animesh Garg
- Krishnan Srinivasan
- Ajay Mandlekar
- Brenna D. Argall
- Siddarth Jain
Citations in the corpus
- Controlling Assistive Robots with Learned Latent Actions (2019, background): “Other shared autonomy works consider settings where the human’s input has the same number of DoFs as the robot’s action space [12]–[15].”
- Probabilistic Human Intent Recognition for Shared Autonomy in Assistive Robotics (2019, background): “Intent inference—also referred to as inference of the desired goal, target, action, or behavior— has been investigated under various settings [26].”
- Towards Explainable Shared Control using Augmented Reality (2019, background): “Traditional processes of shared control, namely intention estimation and arbitration [4], [5], are commonly evaluated based on how well the output control commands align with the user’s”