Biomechanical Modeling of Human–Robot Accident Scenarios: A Computational Assessment for Heavy-Payload-Capacity Robots

Usman Asad, Shummaila Rasheed, Waqas Akbar Lughmani, Tayyaba Kazim, Azfar Khalid, Jürgen Pannek

Research output: Contribution to journal › Article › peer-review

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@article{3245cc6889f74f0bb7499988d7826a00,

title = "Biomechanical Modeling of Human–Robot Accident Scenarios: A Computational Assessment for Heavy-Payload-Capacity Robots",

author = "Usman Asad and Shummaila Rasheed and Lughmani, \{Waqas Akbar\} and Tayyaba Kazim and Azfar Khalid and J{\"u}rgen Pannek",

year = "2023",

month = feb,

day = "2",

doi = "10.3390/app13031957",

language = "English",

journal = "Applied Sciences",

issn = "1454-5101",

}

TY - JOUR

T1 - Biomechanical Modeling of Human–Robot Accident Scenarios: A Computational Assessment for Heavy-Payload-Capacity Robots

AU - Asad, Usman

AU - Rasheed, Shummaila

AU - Lughmani, Waqas Akbar

AU - Kazim, Tayyaba

AU - Khalid, Azfar

AU - Pannek, Jürgen

PY - 2023/2/2

Y1 - 2023/2/2

UR - https://doi.org/10.3390/app13031957

U2 - 10.3390/app13031957

DO - 10.3390/app13031957

M3 - Article

SN - 1454-5101

JO - Applied Sciences

JF - Applied Sciences

ER -