Abstract
The ability of androids to display facial expressions is a key factor towards more natural human-robot interaction. However, controlling the facial expressions of such robots with elastic facial skin is difficult due to the complexity of modeling the skin deformation. We propose a method to solve the inverse kinematics of android faces to control the android's facial expression using target feature points. In our method, we use an artificial neural network to model the forward kinematics and minimizing a weighted squared error function for solving the inverse kinematics. We then implement an inverse kinematics solver and evaluate our method using an actual android.
Original language | English |
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Title of host publication | Latest Advances in Robot Kinematics |
Publisher | Springer Netherlands |
Pages | 181-188 |
Number of pages | 8 |
ISBN (Electronic) | 9789400746206 |
ISBN (Print) | 9789400746190 |
DOIs | |
Publication status | Published - 2012 Jan 1 |
Externally published | Yes |
Keywords
- Android
- Artificial neural networks
- Facial expressions
- Human-robot interaction
- Inverse kinematics
ASJC Scopus subject areas
- Engineering(all)
- Computer Science(all)