Zhong, Jia

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Zhong, Jia

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Gerade angezeigt 1 - 6 von 6
  • Publikation
    Investigating the effects of gaze behavior on the perceived delay of a robot's response
    (2019) Zhong, Jia; Schmiedel, Theresa; Dornberger, Rolf; Salichs, Miguel A.; Ge, Shuzhi Sam; Ivanova Barakova, Emilia; Cabibihan, John-John; Wagner, Alan R.; Castro-González, Álvaro; He, Hongsheng [in: Social Robotics. 11th International Conference, ICSR 2019, Madrid, Spain, November 26-29, 2019, proceedings]
    Slow responses of social robots cause user frustration in human robot communication. This paper investigates how far the gaze behavior of a robot, meaning the way the robot looks at its conversation partner, influences the perceived delay of a robot’s response in human-robot conversations. To enhance a natural conversation pattern, a gaze behavior was designed and implemented into a humanoid robot. A within-subject experiment involving 31 test subjects was designed with two conditions (with and without gaze behavior). The results generally show a positive correlation between the gaze behavior that the robot exhibits and the perceived responsiveness of the robot (in the condition with gaze behavior). However, the perceived responsiveness is the same in both conditions. One reason for this finding may be that the response time of the robot might have been generally too short to identify an effect in the experi mental setting. Future research can directly build on our research to assess the relation between gaze behavior and perceived responsiveness in further detail and draw upon the finding that gaze behavior generally plays an important role with regard to the perceived responsiveness of a robot. Robot designers can also build on our research and consider both gaze behavior and additional factors to address a perceived delay in a robot’s response.
    04B - Beitrag Konferenzschrift
  • Publikation
    Comparison of the behavior of swarm robots with their computer simulations applying target-searching algorithms
    (Engineering and Technology, 2018) Zhong, Jia; Dornberger, Rolf; Hanne, Thomas [in: International Journal of Mechanical Engineering and Robotics Research]
    This paper investigates the functionality and quality of the implementation of a search and target surrounding swarm robotic algorithm using physical swarm robots named Kilobots. The implementation was developed and tested in the simulator V-REP, then transferred onto the actually running Kilobots: Ten Kilobots were used for the experiment, where one Kilobot acts as the target and nine Kilobots act as the searchers. The algorithm allows the searchers to swarm out to find the target while avoiding collisions with other searchers, to orbit around other searchers, which are closer to the target, and finally to surround the target once it is found. The results of the implementation using the physical Kilobots are compared with the results of two adjusted computer simulations. Differences between the simulations and the real robot implementation are investigated: Discrepancies regarding the locomotion and the communication capabilities are identified and discussed.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Digitalization: yesterday, today and tomorrow
    (Springer, 2018) Dornberger, Rolf; Inglese, Terry; Korkut, Safak; Zhong, Jia; Dornberger, Rolf [in: Business information systems and technology 4.0. New trends in the age of digital change]
    04A - Beitrag Sammelband
  • Publikation
    Comparison of a real kilobot robot implementation with its computer simulation focussing on target-searching algorithms
    (IEEE, 2018) Zhong, Jia; Umamaheshwarappa, Ramya Ramedeverahalli; Dornberger, Rolf; Hanne, Thomas [in: 2018 International Conference on Intelligent Autonomous Systems (ICoIAS’2018)]
    This paper presents the functionality and quality of the implementation of a search- and target-surrounding swarm robotic algorithm, which was developed and tested in the simulator V-REP, on actually running Kilobots. Ten Kilobots were used for the experiment where one Kilobot acts as target and nine Kilobots act as searchers. The algorithm allows the searchers to disperse to find the target, to avoid collisions with other searchers, to orbit other searchers, which are closer to the target, and to finally surround the target, once it is found. The results of the implementation using actual, real swarm robots are compared with the results of the computer simulation. Differences between simulation and real robot implementation are discussed. In particular, issues associated with the limitation in the Kilobots’ communication capability and their implications on the algorithm are investigated.
    04B - Beitrag Konferenzschrift
  • Publikation
    Investigating the democracy behavior of swarm robots in the case of a best-of-n selection
    (2018) Pochon, Yann; Dornberger, Rolf; Zhong, Jia; Korkut, Safak; Sundaram, Suresh [in: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018)]
    In swarm robotics, a challenging task is to let the decentralized acting agents make a joint decision, when the individual robots of the swarm only have partial knowledge of the search space. In this paper, we propose a new nature-inspired method for decision-making in the case of a best-of-n selection, investigating the democracy behavior of honeybees and implementing it in swarm robots. The feasibility of our model is tested using a swarm consisting of real hardware robots, the so-called Kilobots. It is shown that our proposed democratic model proves to be resistant to malicious manipulation in the consensus-finding process. Thus, the democracy behavior of honeybees implemented in swarm robots robustly finds the best-of-n selection.
    04B - Beitrag Konferenzschrift
  • Publikation
    Frischer (Fahrt-)Wind
    (Swiss Professional Media, 2016) von Kutzschenbach, Michael; Zhong, Jia [in: Unternehmer Zeitung]
    Die Autohersteller befinden sich in einer heissen Transformationsphase. Die Autos werden zunehmend intelligenter. Gleichzeitig eröffnen neue digitale Technologien unzählige Möglichkeiten für neue Geschäftsmodelle rund ums Auto. Fünf Experten aus der Automobilindustrie, der Forschung und dem Technologiesektor haben uns Einblicke in die Zukunft gewährt.
    01B - Beitrag in Magazin oder Zeitung