An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations

Song, Boyi; Peng, Yuntao; Luo, Ruijiao; Li, Rui

doi:10.1109/case49439.2021.9551528

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…And machine/computer-primed decision-making systems are usually human-assisted intelligent systems. Through adding participation of humans to the operation or decision making process of pure machine intelligent systems, [22] could realize the failure avoidance in robot manipulations, and in [23], the relationship of human-assisted decision making and machines' correlated observations were researched, thus we can understand when the human's decision can augment the machine's observation to yield improved decisions. Whereas, hybrid decision making in a pattern that is more adaptive to the cooperative action between human and their high-intelligent equal collaborator agents.…”

Section: Decision Making and Supportmentioning

confidence: 99%

Researches advanced in human-computer collaboration and human-machine cooperation: from variances to common prospect

Zhang

2022

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

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The booming technology of artificial intelligence (AI) and robotics enable people not only prospect its huge potential, but also limitation of capability when solving inplicit problems comparing with human. As a result, fields like Human- Computer Collaboration (HCC) and Human-Machine Cooperation (HMC) are developed and explored, with relevant concepts such as Human-in-The-Loop (HiTL) being aroused. Whereas, such types of research areas are lack of uniform standards and procedures, even measurements, attributing to the way too specific works to scenarios. Thus in this paper, a review of Human-Computer Collaboration (HCC) and Human-Machine Cooperation (HMC) is conducted from the aspects of vaiances to their common prospects. From data gathering to decision making and support, finally to interaction interface, the processing and operation of HCC/HMC systems are discussed, with key issues like trust level to agents proposed and future works suggested.

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Section: Decision Making and Supportmentioning

confidence: 99%

Researches advanced in human-computer collaboration and human-machine cooperation: from variances to common prospect

Zhang

2022

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

View full text Add to dashboard Cite

show abstract

An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations

Cited by 1 publication

References 23 publications

Researches advanced in human-computer collaboration and human-machine cooperation: from variances to common prospect

Researches advanced in human-computer collaboration and human-machine cooperation: from variances to common prospect

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