Chia-How Lin

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This paper presents a method of mood transition design of a robot for autonomous emotional interaction with humans. A 2-D emotional model is proposed to combine robot emotion, mood, and personality in order to generate emotional expressions. In this design, the robot personality is programmed by adjusting the factors of the five factor model proposed by(More)
This paper presents a vision-based obstacle avoidance design using a monocular camera onboard a mobile robot. An image processing procedure is developed to estimate distances between the robot and obstacles based-on inverse perspective transformation (IPT) in image plane. A robust image processing solution is proposed to detect and segment navigatable(More)
This paper presents a multi-agent approach to developing a flexible real-time control system for an autonomous mobile robot. The main purpose of this study is to integrate heterogeneous algorithms and functions onboard the robot, while still to guarantee a reasonable responding time. The balance between generality and flexibility is also addressed. This(More)
This paper presents an agent-based robot control (ARC) architecture. ARC features a flexible real-time control system, which is suitable for multi-robot cooperative tasks. It also provides an efficient platform for building up a multi-robot system consisting of heterogeneous robots. In this paper, an experimental study of this architecture is investigated.(More)
—This paper presents a novel design of autonomous robotic facial expression generation using a fuzzy-neuro network. The emotional characteristics of a robot can be specified in this design by assigning weights in the fuzzy-neuro network. The robotic face generates appropriate expressions in responding to the image recognition results of a user's emotional(More)
Many robotic vision systems suffer from unsatisfied recognition rate and high computational load. A solution to the design of a fast and sufficiently accurate robotic vision system requires urgent attention. This paper presents a novel image processing architecture for visual attention and tracking applications using a series of low-level image processing(More)