4.4 Article

Haptic and Visual Feedback Assistance for Dual-Arm Robot Teleoperation in Surface Conditioning Tasks

Journal

IEEE TRANSACTIONS ON HAPTICS
Volume 14, Issue 1, Pages 44-56

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TOH.2020.3004388

Keywords

Robots; Task analysis; Service robots; Haptic interfaces; Surface treatment; Robot sensing systems; Surface impedance; Collaborative robot; dual-arm robotics; haptic feedback; shared control; surface treatment; teleoperation

Funding

  1. Generalitat Valenciana [APOSTD/2017/055]
  2. Spanish Government [DPI2017-87656-C2-1-R]
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES Brasil) [001]
  4. CEFET-MG
  5. Royal Academy of Engineering Chair in Emerging Technologies

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The article introduces a novel dual-arm teleoperation architecture with haptic and visual feedback to enhance operator immersion in surface treatment tasks. Two task-based assistance systems are proposed to control each robotic manipulator individually. Usability tests conducted using Baxter show that the proposed assistance method helps reduce task duration and improve overall teleoperation performance.
Contact driven tasks, such as surface conditioning operations (wiping, polishing, sanding, etc.), are difficult to program in advance to be performed autonomously by a robotic system, specially when the objects involved are moving. In many applications, human-robot physical interaction can be used for the teaching, specially in learning from demonstrations frameworks, but this solution is not always available. Robot teleoperation is very useful when user and robot cannot share the same workspace due to hazardous environments, inaccessible locations, or because of ergonomic issues. In this sense, this article introduces a novel dual-arm teleoperation architecture with haptic and visual feedback to enhance the operator immersion in surface treatment tasks. Two task-based assistance systems are also proposed to control each robotic manipulator individually. To validate the remote assisted control, some usability tests have been carried out using Baxter, a dual-arm collaborative robot. After analysing several benchmark metrics, the results show that the proposed assistance method helps to reduce the task duration and improves the overall performance of the teleoperation.

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