A
Ali Ahmad Malik
Researcher at Stanford University
Publications - 40
Citations - 1049
Ali Ahmad Malik is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 13, co-authored 34 publications receiving 511 citations. Previous affiliations of Ali Ahmad Malik include Siemens & University of Southern Denmark.
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Digital twin driven human–robot collaborative assembly
Arne Bilberg,Ali Ahmad Malik +1 more
TL;DR: In this article, an object-oriented event-driven simulation as a digital twin of a flexible assembly cell coordinated with a robot to perform assembly tasks alongside human is presented, and validated with an industrial case study involving dexterous assembly tasks.
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Digital twins of human robot collaboration in a production setting
Ali Ahmad Malik,Arne Bilberg +1 more
TL;DR: A digital twin framework to support the design, build and control of human-machine cooperation and the case of a manufacturing company with human-robot work teams is presented for developing and validating thedigital twin framework.
Journal ArticleDOI
Digital twins for collaborative robots: A case study in human-robot interaction
Ali Ahmad Malik,Alexander Brem +1 more
TL;DR: In this paper, a virtual counterpart of a physical human-robot assembly system is built as a "front-runner" for validation and control throughout its design, build and operation.
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Complexity-based task allocation in human-robot collaborative assembly
Ali Ahmad Malik,Arne Bilberg +1 more
TL;DR: The method will differentiate the tasks with higher complexity of handling, mounting, human safety and part feeding from low-complexity tasks, thereby simplifying collaborative automation in HRC scenario and significantly reduce deployment and changeover times.
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Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace
TL;DR: The technological development in virtual reality (VR) for design of human-centred production systems is explored and a unified framework to integrate human-robot simulation with VR is developed.