Analysis of task-based gestures in human-robot interaction

Amir Haddadi; Elizabeth A. Croft; Brian T. Gleeson; Karon MacLean; Javier Alcazar

doi:10.1109/ICRA.2013.6630865

Analysis of task-based gestures in human-robot interaction

Amir Haddadi, Elizabeth A. Croft, Brian T. Gleeson, Karon MacLean, Javier Alcazar

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

10 Citations (Scopus)

Abstract

New developments, innovations, and advancements in robotic technology are paving the way for intelligent robots to enable, support, and enhance the capabilities of human workers in manufacturing environments. We envision future industrial robot assistants that support workers in their tasks, advancing manufacturing quality and processes and increasing productivity. However, this requires new channels of fine-grained, fast and reliable communication. In this research we examined the communication required for human-robot collaboration in a vehicle door assembly scenario. We identified potential communicative gestures applicable to this scenario, implemented these gestures on a Barrett WAM^TM1 manipulator, and evaluated them in terms of human recognition rate and response time in a real-time interaction. Response time analysis reveals insights into the communicative structure of robot motions; namely, key short gesture segments include the bulk of the communicative information. These results will help us design more efficient and fluid task flow in human-robot interaction scenarios.

Original language	English
Title of host publication	2013 IEEE International Conference on Robotics and Automation, ICRA 2013
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2146-2152
Number of pages	7
ISBN (Print)	9781467356411
DOIs	https://doi.org/10.1109/ICRA.2013.6630865
Publication status	Published - 14 Nov 2013
Externally published	Yes
Event	IEEE International Conference on Robotics and Automation 2013 - Karlsruhe, Germany Duration: 6 May 2013 → 10 May 2013 https://ieeexplore.ieee.org/xpl/conhome/6615630/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Robotics and Automation 2013
Abbreviated title	ICRA 2013
Country/Territory	Germany
City	Karlsruhe
Period	6/05/13 → 10/05/13
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6615630/proceeding (Proceedings)

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10.1109/ICRA.2013.6630865

Cite this

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title = "Analysis of task-based gestures in human-robot interaction",

abstract = "New developments, innovations, and advancements in robotic technology are paving the way for intelligent robots to enable, support, and enhance the capabilities of human workers in manufacturing environments. We envision future industrial robot assistants that support workers in their tasks, advancing manufacturing quality and processes and increasing productivity. However, this requires new channels of fine-grained, fast and reliable communication. In this research we examined the communication required for human-robot collaboration in a vehicle door assembly scenario. We identified potential communicative gestures applicable to this scenario, implemented these gestures on a Barrett WAMTM1 manipulator, and evaluated them in terms of human recognition rate and response time in a real-time interaction. Response time analysis reveals insights into the communicative structure of robot motions; namely, key short gesture segments include the bulk of the communicative information. These results will help us design more efficient and fluid task flow in human-robot interaction scenarios.",

author = "Amir Haddadi and Croft, {Elizabeth A.} and Gleeson, {Brian T.} and Karon MacLean and Javier Alcazar",

year = "2013",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Robotics and Automation 2013, ICRA 2013 ; Conference date: 06-05-2013 Through 10-05-2013",

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Haddadi, A, Croft, EA, Gleeson, BT, MacLean, K & Alcazar, J 2013, Analysis of task-based gestures in human-robot interaction. in 2013 IEEE International Conference on Robotics and Automation, ICRA 2013., 6630865, IEEE, Institute of Electrical and Electronics Engineers, pp. 2146-2152, IEEE International Conference on Robotics and Automation 2013, Karlsruhe, Baden-Württemberg, Germany, 6/05/13. https://doi.org/10.1109/ICRA.2013.6630865

Analysis of task-based gestures in human-robot interaction. / Haddadi, Amir; Croft, Elizabeth A.; Gleeson, Brian T. et al.
2013 IEEE International Conference on Robotics and Automation, ICRA 2013. IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 2146-2152 6630865.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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AU - Haddadi, Amir

AU - Croft, Elizabeth A.

AU - Gleeson, Brian T.

AU - MacLean, Karon

AU - Alcazar, Javier

PY - 2013/11/14

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AB - New developments, innovations, and advancements in robotic technology are paving the way for intelligent robots to enable, support, and enhance the capabilities of human workers in manufacturing environments. We envision future industrial robot assistants that support workers in their tasks, advancing manufacturing quality and processes and increasing productivity. However, this requires new channels of fine-grained, fast and reliable communication. In this research we examined the communication required for human-robot collaboration in a vehicle door assembly scenario. We identified potential communicative gestures applicable to this scenario, implemented these gestures on a Barrett WAMTM1 manipulator, and evaluated them in terms of human recognition rate and response time in a real-time interaction. Response time analysis reveals insights into the communicative structure of robot motions; namely, key short gesture segments include the bulk of the communicative information. These results will help us design more efficient and fluid task flow in human-robot interaction scenarios.

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Analysis of task-based gestures in human-robot interaction

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