Using Constrained Optimization for Real-Time Synchronization of Verbal and Nonverbal Robot Behavior
| Autor: | Iolanda Leite, Jonas Beskow, Aravind E. Vijayan, Simon Alexanderson |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Constrained optimization 020207 software engineering Robotics 02 engineering and technology Motion (physics) Computer Science::Robotics Synchronization (computer science) 0202 electrical engineering electronic engineering information engineering Character animation Trajectory Robot 020201 artificial intelligence & image processing Computer vision Artificial intelligence Behavior-based robotics business Humanoid robot ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | ICRA |
| DOI: | 10.1109/icra.2018.8462828 |
| Popis: | Most of the motion re-targeting techniques are grounded on virtual character animation research, which means that they typically assume that the target embodiment has unconstrained joint angular velocities. However, because robots often do have such constraints, traditional re-targeting approaches can originate irregular delays in the robot motion. With the goal of ensuring synchronization between verbal and nonverbal behavior, this paper proposes an optimization framework for processing re-targeted motion sequences that addresses constraints such as joint angle and angular velocities. The proposed framework was evaluated on a humanoid robot using both objective and subjective metrics. While the analysis of the joint motion trajectories provides evidence that our framework successfully performs the desired modifications to ensure verbal and nonverbal behavior synchronization, results from a perceptual study showed that participants found the robot motion generated by our method more natural, elegant and lifelike than a control condition. |
| Databáze: | OpenAIRE |
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