Name
Abstract | ||
|---|---|---|
During social interaction between humans and robots, body language can contribute to communicate mutual emotional states. In this paper, a method is presented, that enables wheeled robots with differential drive to express various emotional states by means of different movement styles during goal-directed motion. The motion control of the robot utilizes an objective-based motion planner optimizing the control commands in a high-dimensional search space by means of an evolutionary algorithm. The main contribution in this paper is an objective function that uses human feedback on the perceived robot emotion in order to evaluate the possible robot control sequences. First group experiments have been conducted in order to demonstrate the system and find suitable movement styles for possible emotional states. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 26TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN) | Computer vision,Robot control,Motion control,Evolutionary algorithm,Computer science,Robot kinematics,Body language,Human–computer interaction,Artificial intelligence,Robot,Mobile robot,Trajectory |
DocType | ISSN | Citations |
Conference | 1944-9445 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steffen Müller | 1 | 120 | 14.74 |
| Thanh Q. Trinh | 2 | 4 | 3.50 |
| Horst-Michael Gross | 3 | 761 | 92.05 |