Ian Yen-Hung Chen

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— Mobile robots are increasingly entering the real and complex world of humans in ways that necessitate a high degree of interaction and cooperation between human and robot. Complex simulation models, expensive hardware setup, and a highly controlled environment are often required during various stages of robot development. There is a need for robot(More)
The objective of this research is to apply markerless Augmented Reality (AR) techniques to aid in the visualisation of robotic helicopter related tasks. Conventional robotic AR applications work well with markers in prepared environments but are infeasible in outdoor settings. In this paper, we present preliminary results from a real time mark-erless AR(More)
Experimentation of expensive robot systems typically requires complex simulation models and expensive hardware setups for constructing close-to-real world environments in order to obtain reliable results and draw insights to the actual operation. However, the test-development cycle is often time-consuming and resource demanding. A cost-effective solution is(More)
A Mixed Reality (MR) simulation aims to enable robot developers to create safe and close-to-real world environments from a mixture of real and virtual components for experimenting with robot systems. However, the reliability of the simulation results and its usefulness in solving practical problems remain to be validated. This paper presents an evaluation(More)
The development cycle of an Unmanned Aerial Vehicle (UAV) system can be long and challenging. Mixed Reality (MR) simulations can reduce cost, duration and risk of the development process by enabling the replacement of expensive, dangerous, or not yet fully developed components with virtual counterparts. However, there has been little validation of such(More)
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