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Virtual Work for a System of Connected Rigid Bodies01:06

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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A UWB-Based Lighter-Than-Air Indoor Robot for User-Centered Interactive Applications.

Khawar Naheem1, Ahmed Elsharkawy1, Dongwoo Koo1

  • 1Center for Healthcare Robotics, School of Integrated Technology, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea.

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This study introduces an ultra-wideband (UWB) lighter-than-air robot for indoor navigation. It enables long-distance user following through advanced tracking, overcoming environmental uncertainties for interactive applications.

Keywords:
UWB sensorautonomous vehiclecontrolhuman–robot interactionindoor trackingwearables

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Area of Science:

  • Robotics
  • Indoor Navigation
  • Human-Robot Interaction

Background:

  • Lighter-than-air robots offer safety and endurance for indoor navigation with people.
  • Current systems struggle with long-distance user following in large spaces and are susceptible to environmental interference.
  • Tracking data accuracy is compromised by varying light and electromagnetic disturbances.

Purpose of the Study:

  • To develop an ultra-wideband (UWB)-based lighter-than-air indoor robot for user-centered interactive applications.
  • To address limitations in long-distance user tracking and environmental uncertainties.
  • To enable robust and intuitive human-robot interaction in indoor environments.

Main Methods:

  • Implementation of a UWB-based lighter-than-air robot integrated within a Robot Operating System (ROS) framework.
  • Development of a data processing scheme to manage robot integration and user-centered applications.
  • Introduction of dual interaction methods: user footprint following and user intention recognition using a handheld UWB sensor.
  • Validation of robot pose tracking and 3D positioning against a 3D laser sensor in a controlled arena.

Main Results:

  • The UWB-based robot demonstrated accurate 3D pose tracking, comparable to 3D laser sensor data.
  • The dual interaction system proved effective for user-centered autonomous following over long distances.
  • The proposed system successfully mitigated uncertainties from indoor environmental factors.
  • The ROS framework facilitated seamless integration for interactive applications.

Conclusions:

  • The UWB-based lighter-than-air robot provides a viable solution for long-distance, user-centered indoor navigation.
  • Dual interaction strategies enhance the robot's ability to follow and respond to users in complex indoor settings.
  • The system offers improved robustness against environmental disturbances, paving the way for advanced human-robot collaboration.