Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots

Rohit Kumar; Shivesh Kumar; Andreas Müller; Frank Kirchner

doi:10.1109/IROS47612.2022.9981474

Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots

Rohit Kumar
, Shivesh Kumar
, Andreas Müller
, Frank Kirchner

Institute of Robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	IEEE/RSJ International Conference on Intelligent Robots and Systems
Pages	3476-3483
Number of pages	8
ISBN (Electronic)	9781665479271
DOIs	https://doi.org/10.1109/IROS47612.2022.9981474
Publication status	Published - 2022

Publication series

Name	IEEE International Conference on Intelligent Robots and Systems
Volume	2022-October
ISSN (Print)	2153-0858
ISSN (Electronic)	2153-0866

Fields of science

203015 Mechatronics
203022 Technical mechanics
202 Electrical Engineering, Electronics, Information Engineering
202035 Robotics
203013 Mechanical engineering

JKU Focus areas

Digital Transformation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IROS47612.2022.9981474

Cite this

Kumar, R., Kumar, S., Müller, A., & Kirchner, F. (2022). Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 3476-3483). (IEEE International Conference on Intelligent Robots and Systems; Vol. 2022-October). https://doi.org/10.1109/IROS47612.2022.9981474

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title = "Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots",

author = "Rohit Kumar and Shivesh Kumar and Andreas M{\"u}ller and Frank Kirchner",

year = "2022",

doi = "10.1109/IROS47612.2022.9981474",

language = "English",

series = "IEEE International Conference on Intelligent Robots and Systems",

pages = "3476--3483",

booktitle = "IEEE/RSJ International Conference on Intelligent Robots and Systems",

}

Kumar, R, Kumar, S, Müller, A & Kirchner, F 2022, Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots. in IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE International Conference on Intelligent Robots and Systems, vol. 2022-October, pp. 3476-3483. https://doi.org/10.1109/IROS47612.2022.9981474

Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots. / Kumar, Rohit; Kumar, Shivesh; Müller, Andreas et al.
IEEE/RSJ International Conference on Intelligent Robots and Systems. 2022. p. 3476-3483 (IEEE International Conference on Intelligent Robots and Systems; Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots

AU - Kumar, Rohit

AU - Kumar, Shivesh

AU - Müller, Andreas

AU - Kirchner, Frank

PY - 2022

Y1 - 2022

UR - https://www.scopus.com/pages/publications/85146309206

U2 - 10.1109/IROS47612.2022.9981474

DO - 10.1109/IROS47612.2022.9981474

M3 - Conference proceedings

T3 - IEEE International Conference on Intelligent Robots and Systems

SP - 3476

EP - 3483

BT - IEEE/RSJ International Conference on Intelligent Robots and Systems

ER -

Kumar R, Kumar S, Müller A, Kirchner F. Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems. 2022. p. 3476-3483. (IEEE International Conference on Intelligent Robots and Systems). doi: 10.1109/IROS47612.2022.9981474

Modular and Hybrid Numerical-Analytical Approach - a Case Study on Improving Computational Efficiency for Series-Parallel Hybrid Robots

Publication series

Fields of science

JKU Focus areas

UN SDGs

Access to Document

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Cite this