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Artificial Environment

The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Choulsoo Jang – 1st expert on this subject based on the ideXlab platform

  • Cooperative localization for multi-robot incorporating proprioceptive/ exteroceptive position sensors
    Springer Tracts in Advanced Robotics, 2008
    Co-Authors: Jihong Lee, Kyounghwan Jo, Choulsoo Jang

    Abstract:

    This paper presents a new method of cooperative localization for mul- tiple robots utilizing correlation between GPS errors of common mode in shared workspace. Assuming that GPS data of individual robot are correlated strongly as the distance between robots are close, we utilize the differential position data be- tween the robots to refine robot’s position data. Under Artificial Environment for simulation with imposed model error to robot motion and GPS sensor data error, it is confirmed that the proposed method provides improved localization accuracy [9]. In addition, we present a practical solution to accumulated position error in traveling long distance.

  • Cooperative Localization for Multi-robot Incorporating Proprioceptive/Exteroceptive Position Sensors
    Springer Tracts in Advanced Robotics, 2008
    Co-Authors: Jihong Lee, Kyounghwan Jo, Choulsoo Jang

    Abstract:

    This paper presents a new method of cooperative localization for mul- tiple robots utilizing correlation between GPS errors of common mode in shared workspace. Assuming that GPS data of individual robot are correlated strongly as the distance between robots are close, we utilize the differential position data be- tween the robots to refine robot’s position data. Under Artificial Environment for simulation with imposed model error to robot motion and GPS sensor data error, it is confirmed that the proposed method provides improved localization accuracy [9]. In addition, we present a practical solution to accumulated position error in traveling long distance.

Jingyin Li – 2nd expert on this subject based on the ideXlab platform

  • experimental study on an indoor scale solar chimney setup in an Artificial Environment simulation laboratory
    Applied Thermal Engineering, 2016
    Co-Authors: Yuan Wang, Qinglong Meng, Jingyin Li

    Abstract:

    Abstract An Artificial Environment simulation laboratory (AESL) was built and successfully applied to the experimental study of a solar chimney setup for the first time. A solar simulator and a temperature control system are included in the laboratory to achieve active control of Environmental parameters. An indoor scale solar chimney setup with a collector diameter of 1.22 m and chimney height of 1 m was constructed in the testing area of the AESL. The airflow temperature and updraft velocity were measured for the solar chimney setup with varying radiation intensities and chimney heights. The measured data were used to validate a thermal model for the collector. The thermal characteristics of the solar collector were investigated through the temperature field in the collector. The upper limitations on the collector radius and chimney height were discussed based on experimental results. The experimental work on the basic solar chimney setup performance helped in understanding the thermodynamic characteristics of the solar chimney power plant (SCPP), thereby serving as the basis for the design of large-scale commercial SCPPs.

Jihong Lee – 3rd expert on this subject based on the ideXlab platform

  • Cooperative localization for multi-robot incorporating proprioceptive/ exteroceptive position sensors
    Springer Tracts in Advanced Robotics, 2008
    Co-Authors: Jihong Lee, Kyounghwan Jo, Choulsoo Jang

    Abstract:

    This paper presents a new method of cooperative localization for mul- tiple robots utilizing correlation between GPS errors of common mode in shared workspace. Assuming that GPS data of individual robot are correlated strongly as the distance between robots are close, we utilize the differential position data be- tween the robots to refine robot’s position data. Under Artificial Environment for simulation with imposed model error to robot motion and GPS sensor data error, it is confirmed that the proposed method provides improved localization accuracy [9]. In addition, we present a practical solution to accumulated position error in traveling long distance.

  • Cooperative Localization for Multi-robot Incorporating Proprioceptive/Exteroceptive Position Sensors
    Springer Tracts in Advanced Robotics, 2008
    Co-Authors: Jihong Lee, Kyounghwan Jo, Choulsoo Jang

    Abstract:

    This paper presents a new method of cooperative localization for mul- tiple robots utilizing correlation between GPS errors of common mode in shared workspace. Assuming that GPS data of individual robot are correlated strongly as the distance between robots are close, we utilize the differential position data be- tween the robots to refine robot’s position data. Under Artificial Environment for simulation with imposed model error to robot motion and GPS sensor data error, it is confirmed that the proposed method provides improved localization accuracy [9]. In addition, we present a practical solution to accumulated position error in traveling long distance.