A vision-based end pose estimation method for excavator manipulator
Author:
Funder
Natural Science Foundation of Liaoning Province
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18286-w.pdf
Reference39 articles.
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3. Hurkxkens I, Mirjan A, Gramazio F, et al (2020) Robotic landscapes: designing formation processes for large scale autonomous earth moving. In: Impact: Design with all senses. Springer. pp 69–81. https://doi.org/10.1007/978-3-030-29829-6_6
4. Liang C-J, Lundeen KM, McGee W et al (2019) A vision-based marker-less pose estimation system for articulated construction robots. Autom Constr 104:80–94. https://doi.org/10.1016/j.autcon.2019.04.004
5. Eraliev OMU, Lee K-H, Shin D-Y, Lee C-H (2022) Sensing, perception, decision, planning and action of autonomous excavators. Autom Constr 141:104428. https://doi.org/10.1016/j.autcon.2022.104428
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