J
Jonas Buchli
Researcher at ETH Zurich
Publications - 166
Citations - 9460
Jonas Buchli is an academic researcher from ETH Zurich. The author has contributed to research in topics: Robot & Optimal control. The author has an hindex of 46, co-authored 164 publications receiving 7375 citations. Previous affiliations of Jonas Buchli include Istituto Italiano di Tecnologia & University of Southern California.
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Journal ArticleDOI
Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE
Kathrin Dörfler,Norman Hack,Timothy Sandy,Markus Giftthaler,Manuel Lussi,Alexander N. Walzer,Jonas Buchli,Fabio Gramazio,Matthias Kohler +8 more
TL;DR: The research discussed in this paper applies a novel construction system for non-standard reinforced concrete structures to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site, and investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication.
Proceedings ArticleDOI
Online walking motion and foothold optimization for quadruped locomotion
TL;DR: In this article, the authors present an algorithm that generates walking motions for quadruped robots without the use of an explicit footstep planner by simultaneously optimizing over both the Center of Mass (CoM) trajectory and the footholds.
Journal ArticleDOI
Quadruped robot trotting over irregular terrain assisted by stereo-vision
Stéphane Bazeille,Victor Barasuol,Michele Focchi,Ioannis Havoutis,Marco Frigerio,Jonas Buchli,Darwin G. Caldwell,Claudio Semini +7 more
TL;DR: This work uses the previously presented reactive controller framework with balancing control and extends it with visual feedback to enable closed-loop gait adjustment to enable a robust and autonomous goal-oriented navigation over difficult terrain while subject to disturbances from the ground irregularities or external forces.
Proceedings ArticleDOI
The control toolbox — An open-source C++ library for robotics, optimal and model predictive control
TL;DR: The Control Toolbox (CT) as mentioned in this paper is an open-source C++ library for efficient modeling, control, estimation, trajectory optimization and Model Predictive Control, which is applicable to a broad class of dynamic systems but features interfaces to modeling tools specifically designed for robotic applications.
Proceedings ArticleDOI
Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion
TL;DR: This poster presents a poster presenting a probabilistic approach to estimating the response of the immune system to laser-spot assisted, 3D image recognition.