Robotic embankment

Author:

Jud DominicORCID,Hurkxkens IlmarORCID,Girot Christophe,Hutter MarcoORCID

Abstract

AbstractAutomating earth-moving tasks has the potential to resolve labour-shortage, allow for unseen designs and foster sustainability through using on-site materials. In this interdisciplinary project involving robotics and landscape architecture, we combine our previous work on autonomous excavation of free-form shapes, dynamic landscape design and terrain modelling tools into a robotic landscape system. It tightly connects survey, design and fabrication to exchange information in real-time during fabrication. We purposely built a LiDAR survey drone for tight integration. The design environment contains terrain modelling tools to balance cut and fill volumes for material-neutral, on-site construction. Its parametric nature allows it to adapt the geometry to changing site conditions during fabrication. Our autonomous walking excavator is used to create these free-form shapes in natural granular material. We propose an excavation planner for free-form embankments that computes the next excavation location and subsequently the location where the excavated soil should be dumped. This robotic excavation system achieves the world’s first autonomous completion of free-form embankments with high accuracy. A $$20\hbox { m}$$ 20 m long S-shaped and a two-faced embankment with a corner with roughly 0.03–0.05 m average error were created.

Funder

National Centre of Competence in Research Digital Fabrication

armasuisse Science and Technology

ETH Zurich

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference33 articles.

1. Built Robotics and MPC Kinetic in Queensland. https://www.i-q.net.au/main/autonomous-excavators-on-site. Accessed: (2020-12-01)

2. Bar-Sinai K.L, Shaked T, Sprecher A (2019) Informing Grounds: A Theoretical Framework and Iterative Process for Robotic Groundscaping of Remote Sites. In: Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA), pp. 258–265

3. Bradley D, Seward D (1995) Developing real-time autonomous excavation - the LUCIE story., pp. 3028–3033

4. Bradley DA, Seward DW (1998) The development, control and operation of an autonomous robotic excavator. Journal of Intelligent and Robotic Systems 21(1):73–97

5. Bradski G (2000) The OpenCV Library. Dr. Dobb’s Journal of Software Tools

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3