Demo Data from SIGIR 2026 / reviewers in the wild / expert
Norman Hack
dblp:203/5435
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-5261-6726ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Robot manipulation · 33% Robot navigation and mapping · 30% 3D vision · 30% | |
| Computer graphics and multimedia
2 papers |
Computational fabrication · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication › computer-aided manufacturing
robotic fabrication |
0.6 | 2 | 2018 | Accurate and Adaptive in Situ Fabrication of an Undulated Wall Using an on-Board Visual Sensing System · ICRA 2018 Design, development and experimental assessment of a robotic end-effector for non-standard concrete applications · ICRA 2017 |
Robotics › Robot navigation and mapping
localization |
0.3 | 1 | 2018 | Accurate and Adaptive in Situ Fabrication of an Undulated Wall Using an on-Board Visual Sensing System · ICRA 2018 |
Computer vision › 3D vision › pose estimation
visual pose estimation |
0.3 | 1 | 2018 | Accurate and Adaptive in Situ Fabrication of an Undulated Wall Using an on-Board Visual Sensing System · ICRA 2018 |
Robotics › Robot manipulation › robot design › manipulator design
end-effector design |
0.3 | 1 | 2017 | Design, development and experimental assessment of a robotic end-effector for non-standard concrete applications · ICRA 2017 |
Robotics › Legged, aerial and field robots
construction robotics |
0.1 | 1 | 2017 | Design, development and experimental assessment of a robotic end-effector for non-standard concrete applications · ICRA 2017 |
Robotics › Robot manipulation
mobile manipulation |
0.1 | 1 | 2017 | Design, development and experimental assessment of a robotic end-effector for non-standard concrete applications · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
vision-based sensing · 0.7CAD model referencing · 0.7simulation · 0.6control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Accurate and Adaptive in Situ Fabrication of an Undulated Wall Using an on-Board Visual Sensing SystemabstractIn this paper we present a system for the in situ33In the context of building construction, “in situ” means that fabrication takes place at the structure's final location directly on the building site. fabrication of a full-scale, load-bearing, and doubly-curved steel reinforced concrete wall. Two complementary vision-based sensing systems provide the feedback necessary to build a 12 meter long steel wire mesh as part of a novel digital building process. The sensing systems provide estimates of the robot pose, referenced to the CAD model of the building site, as well as feedback on the accuracy of the built structure over the course of construction. This second piece of information is used to adapt the building plan to compensate for system inaccuracies and material deformations which occur during buildup. In this way, the structure was successfully built with 98% of the total geometry within 2 centimeters of the designed position. To the best of our knowledge, this is the largest structure which has been built by a mobile robot using solely vision-based sensing. Manuel Lussi, Timothy Sandy, Kathrin Dörfler, Norman Hack, Fabio Gramazio, Matthias Kohler, Jonas Buchli |
ICRA | 4 |
| 2017 | Design, development and experimental assessment of a robotic end-effector for non-standard concrete applicationsabstractDespite the recent advances in, and the adoption of robotic technologies in the construction industry, the architectural processes which demand a high degree of geometric freedom still remain largely labour intensive and manual. This is due to the inherent difficulties in robotizing the current implementation of such processes coupled with the lack of alternate robotic technologies. A specific example, which is also the focus of this paper, is that of building a steel reinforced concrete structure, with varying curvature or cross-section. This process still remains rather manual and requires extensive support of customized form-work. In this paper, first we describe an alternate novel robotic fabrication process for building steel wire meshes which act as both reinforcement and formwork. The robotization of such a process is discussed with the use of a previously developed mobile robotic system. Based on the specifications derived from the process, design of a novel custom designed robotic end-effector, enabling this process, is detailed. Automation of the full robotic system comprising the mobile robotic system and the robotic end-effector is discussed from simulation to control. Through experimental evaluation of the robotic system, we demonstrate the ability to fully automate the construction of non-standard steel reinforced steel meshes of varying curvature and cell sizes. Norman Hack, Kathrin Dörfler, Alexander Nikolas Walzer, Gonzalo Rey, Fabio Gramazio, Matthias Kohler, Jonas Buchli |
ICRA | 2 |