Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jelavic, Edo"'
Autor:
Terenzi, Lorenzo, Nubert, Julian, Eyschen, Pol, Roth, Pascal, Fei, Simin, Jelavic, Edo, Hutter, Marco
Construction sites are challenging environments for autonomous systems due to their unstructured nature and the presence of dynamic actors, such as workers and machinery. This work presents a comprehensive panoptic scene understanding solution design
Externí odkaz:
http://arxiv.org/abs/2410.04250
Autor:
Jud, Dominic, Kerscher, Simon, Wermelinger, Martin, Jelavic, Edo, Egli, Pascal, Leemann, Philipp, Hottiger, Gabriel, Hutter, Marco
Publikováno v:
Automation in Construction, Volume 129, September 2021, 103783
The demand and the potential for automation in the construction sector is unmatched, particularly for increasing environmental sustainability, improving worker safety and reducing labor shortages. We have developed an autonomous walking excavator - b
Externí odkaz:
http://arxiv.org/abs/2106.05059
This paper presents an integrated system for performing precision harvesting missions using a legged harvester. Our harvester performs a challenging task of autonomous navigation and tree grabbing in a confined, GPS denied forest environment. Strateg
Externí odkaz:
http://arxiv.org/abs/2104.10110
Planning for legged-wheeled machines is typically done using trajectory optimization because of many degrees of freedom, thus rendering legged-wheeled planners prone to falling prey to bad local minima. We present a combined sampling and optimization
Externí odkaz:
http://arxiv.org/abs/2104.04247
We introduce a real-time, constrained, nonlinear Model Predictive Control for the motion planning of legged robots. The proposed approach uses a constrained optimal control algorithm known as SLQ. We improve the efficiency of this algorithm by introd
Externí odkaz:
http://arxiv.org/abs/1710.04029
We introduce a robust control architecture for the whole-body motion control of torque controlled robots with arms and legs. The method is based on the robust control of contact forces in order to track a planned Center of Mass trajectory. Its appeal
Externí odkaz:
http://arxiv.org/abs/1703.02326
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In IFAC PapersOnLine July 2017 50(1):14569-14574
Autor:
Jelavic, Edo
While slowly finding their way into human-engineered environments, deploying robots in natural environments remains challenging today. Automation is especially lacking for large-scale hydraulic machinery, which would be indispensable for automating d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeabaddd0a897123a3ad650f8507b8cb
https://hdl.handle.net/20.500.11850/615353
https://hdl.handle.net/20.500.11850/615353
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.