Name
Abstract | ||
|---|---|---|
Patients suffering from quadriplegia have limited body motion which prevents them from performing daily activities. We have developed an assistive robotic system with an intuitive free-view gaze interface. The user's point of regard is estimated in 3D space while allowing free head movement and is combined with object recognition and trajectory planning. This framework allows the user to interact with objects using fixations. Two operational modes have been implemented to cater for different eventualities. The automatic mode performs a pre-defined task associated with a gaze-selected object, while the manual mode allows gaze control of the robot's end-effector position on the user's frame of reference. User studies reported effortless operation in automatic mode. A manual pick and place task achieved a success rate of 100% on the users' first attempt. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IROS.2018.8594045 | 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Field | DocType | ISSN |
Computer vision,Fixation (psychology),Task analysis,Gaze,Computer science,Robot kinematics,SMT placement equipment,Artificial intelligence,Robot,Frame of reference,Cognitive neuroscience of visual object recognition | Conference | 2153-0858 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming-Yao Wang | 1 | 1 | 0.70 |
| Alexandros Kogkas | 2 | 2 | 2.47 |
| Ara Darzi | 3 | 496 | 58.41 |
| George P. Mylonas | 4 | 212 | 22.01 |