Development of an Earthmoving Machinery Autonomous Excavator Development Platform
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Development of an Earthmoving Machinery Autonomous Excavator Development Platform Rauno Heikkilä, Tomi Makkonen, Ilpo Nishanen, Matti Immonen, Mikko Hiltunen, Tanja Kolli and Pekka Tyni Pages 1005-1010 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: This paper presents the initial planning phase results of excavator automation in the SmartBooms research project funded by Business Finland. Automation control is a key factor for the earth construction industry. Automation of excavators enables increased productivity and accurate adjustment of the digging work process, especially in depth control, which results in cost reductions. For design and research of excavator automation, a development platform has been planned using an E85 Bobcat 8.5 t excavator equipped with modified hydraulics and controls. Simulation and software development was selected using Matlab Simulink Realtime Desktop with SimlabIO CAN bus communications and custom code, while additional software development is performed mainly with integration of the robotics simulation software V-rep and Matlab. Keywords: Excavator; Automation; Development Platform; Robotic DOI: https://doi.org/10.22260/ISARC2019/0134 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it