Brain-Controlled Wheelchairs: A Robotic Architecture
By Tom Carlson, José del R. Millán. IEEE robotics & automation magazine, 2013
435 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/5d0faec026a5f507d5c99ffd0b226267acd3ca98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Brenna D. Argall
- Dylan P. Losey
- Marcia Kilchenman O'Malley
- Edoardo Battaglia
- Craig G. Mcdonald
- José del R. Millán
In Cognitive Neuroscience
- Brenna D. Argall
- Dylan P. Losey
- Dorsa Sadigh
- Marcia Kilchenman O'Malley
- Edoardo Battaglia
- Craig G. Mcdonald
- Bifta Sama Bari
- Sabira Khatun
In Human-Computer Interaction
- Brenna D. Argall
- Dylan P. Losey
- Dorsa Sadigh
- Marcia Kilchenman O'Malley
- Edoardo Battaglia
- Craig G. Mcdonald
- José del R. Millán
- Jeannette Bohg
Citations in the corpus
- Control strategies for active lower extremity prosthetics and orthotics: a review (2015, positive): “An array of sonar sensors and digital video cameras was used to detect obtacles, which was used in the shared control context allow/disallow user commands with a brain-controlled wheelchair [47].”
- Autonomy in Rehabilitation Robotics: An Intersection (2018, positive): “For example, there are interfaces that employ haptic feedback to guide the user’s trajectory or alert them to obstacles (74, 75), touch-based graphical user interfaces to capture control commands (76) or locations of interest (65, 77), control command selections via blinking diodes and EEG (78), and”
- Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review (2020, background): “…(Hortal et al., 2015; Djamal et al., 2017; Bousseta et al., 2018; Yang C. et al., 2018), power spectral density (PSD) (Chiappa and Bengio, 2004; Carlson and Millan, 2013; Mara et al., 2013; Pham et al., 2013; Bascil et al., 2016; Liu Y. et al., 2017; Nguyen et al., 2017; Chakladar and…”
- Learning latent actions to control assistive robots (2021, background): “Assistive devices — such as wheelchair-mounted robot arms — have the potential to improve these people’s independence and quality of life [2,23,34,10].”
- A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction (2018, methodology): “A similar scheme is presented by Carlson and Millan [47], where by default, the wheelchair moves forward while avoiding obstacles, and the human communicates the arbitrated intention to move right or left.”