报告题目1：Using Companion Robots for Research and Education
报 告 人：Patrick C. K. Hung，Faculty of Business and IT, University of Ontario Institute of Technology, Canada
报告摘要：The concept of robots, or other autonomous constructions, can be found in many different cultures dating back to ancient times. A companion robot is defined as a device consisting of a physical robot component that connects to Cloud services to improve the ease and productivity of activities through networking, multi-media and sensory technologies. It is believed that robotic computing can provide a good experience to engage university and pre-university students in Science, Technology, Engineering, and Mathematics (STEM) education. Many studies found out that anthropomorphic designs of what robots are, what they can do, and how they should be understood resulted in greater user engagement within the history of Western countries. Humanoid robots usually behave like natural social interaction partners for human users, with features such as speech, gestures, and eye-gaze, in referring to the personal data and social background of the users. Cultural differences may influence human-robot interaction with different social norms and cultural traits, especially in West and East. In contrary to the Western image of robots as frightening machines, there is a different culture in the East. This talk discussesseveral researchand education studies on companion robots from this socio-technical perspective.
报 告 人：Shih-Chia Huang，Department of Electronic Engineering at National Taipei University of Technology
报告摘要：In contrast to a traditional mechanical car, the Smart Car is a highly computerized automobile featuring ubiquitous computing, intuitive human-computer interaction and an open application platform. In this talk, we propose an advanced Smart Car demonstration platform with a transparent windshield display and various motion sensors where drivers can manipulate a variety of car-appropriate applications in augmented reality. Similar to smartphones, drivers can customize their Smart Car through free downloads of car-appropriate applications according to their needs. Additionally, three potential car-appropriate applications related to computer vision are investigated and implemented in our platform for increased driving safety. The first and second carappropriate applications aim to enhance the driving visual field by restoring the low-visibility scenes captured during inclement-weather or nighttime driving conditions to be high-visibility ones, respectively, and display them on a transparent windshield display. We also survey pedestrian tracking techniques that combine multiple driving recorders' information as a mobile surveillance network, including one proposed framework we have developed as the third car-appropriate application. By embedding these carappropriate applications, the Smart Car has the potential to increase safety of driving conditions both in daytime and nighttime, even in bad weather.
报 告 人：吕智慧副教授， 复旦大学