scholarly journals System Deployment Structures – A New General Form of Robotic Construction Agent

1995 ◽  
Author(s):  
Jonathan B. O'Brien
Keyword(s):  
Robotic Construction

Extracting Asteroidal Mass for Robotic Construction

Asteroids ◽  
2013 ◽  
pp. 365-378 ◽  
Author(s):  
Narayanan Komerath ◽  
Thilini Rangedera ◽  
Scott Bennett
Keyword(s):  
Robotic Construction

Errors in Collective Robotic Construction

2022 ◽  
pp. 269-281
Author(s):  
Jiahe Chen ◽  
Yifang Liu ◽  
Adam Pacheck ◽  
Hadas Kress-Gazit ◽  
Nils Napp ◽  
...  
Keyword(s):  
Robotic Construction

Collaborative Networks of Robotic Construction

2020 ◽  
Vol 90 (2) ◽  
pp. 74-81
Author(s):  
Philip F Yuan ◽  
Chao Yan
Keyword(s):  
Collaborative Networks ◽  
Robotic Construction

scholarly journals Autonomous dry stone

2020 ◽  
Vol 4 (3-4) ◽  
pp. 127-140 ◽  
Author(s):  
Ryan Luke Johns ◽  
Martin Wermelinger ◽  
Ruben Mascaro ◽  
Dominic Jud ◽  
Fabio Gramazio ◽  
...  
Keyword(s):  
Error Propagation ◽  
Planning Process ◽  
Embodied Energy ◽  
Average Weight ◽  
Terrain Mapping ◽  
Planning Algorithm ◽  
Context Specific ◽  
Robotic Construction ◽  
Stone Walls

AbstractOn-site robotic construction not only has the potential to enable architectural assemblies that exceed the size and complexity practical with laboratory-based prefabrication methods, but also offers the opportunity to leverage context-specific, locally sourced materials that are inexpensive, abundant, and low in embodied energy. We introduce a process for constructing dry stone walls in situ, facilitated by a customized autonomous hydraulic excavator. Cabin-mounted LiDAR sensors provide for terrain mapping, stone localization and digitization, and a planning algorithm determines the placement position of each stone. As the properties of the materials are unknown at the beginning of construction, and because error propagation can hinder the efficacy of pre-planned assemblies with non-uniform components, the structure is planned on-the-fly: the desired position of each stone is computed immediately before it is placed, and any settling or unexpected deviations are accounted for. We present the first result of this geometric- and motion-planning process: a 3-m-tall wall composed of 40 stones with an average weight of 760 kg.

Aerial Robotic Construction towards a New Field of Architectural Research

2012 ◽  
Vol 10 (3) ◽  
pp. 439-459 ◽  
Author(s):  
Jan Willmann ◽  
Federico Augugliaro ◽  
Thomas Cadalbert ◽  
Raffaello D'Andrea ◽  
Fabio Gramazio ◽  
...  
Keyword(s):  
New Approach ◽  
Module Design ◽  
Guiding Principle ◽  
Digital Integration ◽  
Building Process ◽  
The Individual ◽  
Architectural Research ◽  
Robotic Construction ◽  
Traditional Approaches ◽  
Small Building

This paper takes a first step in characterizing a novel field of architectural research - aerial robotic construction (ARC) - where aerial robotics is used not only for construction, but as a guiding principle in the design and fabrication process. Featuring autonomous flying vehicles that lift small building elements and position them according to a precise digital blueprint, ARC offers a comprehensive new approach to architecture research and technology. Developed by the research groups of Gramazio & Kohler and Raffaello D'Andrea at ETH Zurich, ARC offers unique advantages over traditional approaches to building: it does not require scaffolding, it is easily scalable, and it offers digital integration and informational oversight across the entire design and building process. This paper considers 1) research parameters for the individual components of ARC (such as module design, connection methodologies, vehicle cooperation, and construction sequencing/synchronization), and 2) the architectural implications of integrating these discrete components into a systemic, unifying process at the earliest stages of design. Fidelity between the design concept and the full-scale construction is of particular concern.

Study on 3-D Laser-Scanning-Based Machine Vision System for Robotic Construction Vehicles

2012 ◽  
Vol 591-593 ◽  
pp. 1391-1395
Author(s):  
Jin Ling Cao ◽  
Ying Luo ◽  
Zhi Li
Keyword(s):  
Machine Vision ◽  
Laser Scanning ◽  
Vision System ◽  
Data Sampling ◽  
Machine Vision System ◽  
Laser Rangefinder ◽  
Autonomous Operation ◽  
Object Contour ◽  
Good Spatial Resolution ◽  
Robotic Construction

Based on the AR4000-LIR type infrared laser rangefinder, the prototype of the 3-D laser-scanning-based machine vision system for robotic construction vehicles is developed and the software for scanning control, swing control and data sampling/processing is programmed. The experimental results show that the system has good spatial resolution and stability and is able to be used for the task planning of the robotic construction vehicles which is in autonomous operation, and better able to scan the detail object contour.

Digital architecture and robotic construction

2017 ◽  
Vol 2 (5) ◽  
pp. eaan3673 ◽  
Author(s):  
Guang-Zhong Yang
Keyword(s):  
Digital Architecture ◽  
Robotic Construction

scholarly journals Real Time Scanning-Modeling System for Architecture Design and Construction

2020 ◽  
Author(s):  
Ye Zhang ◽  
Kun Zhang ◽  
Kaidi Chen ◽  
Zhen Xu
Keyword(s):  
Real Time ◽  
Architectural Design ◽  
Raw Materials ◽  
Computational Design ◽  
3D Models ◽  
Future Research ◽  
Architectural Form ◽  
Related Data ◽  
Time Scanning ◽  
Robotic Construction

The disconnection between architectural form and materiality has become an important issue in recent years. Architectural form is mainly decided by the designer, while material data is often treated as an afterthought which doesn’t factor in decision-making directly. This study proposes a new, real-time scanning-modeling system for computational design and autonomous robotic construction. By using cameras to scan the raw materials, this system would get related data and build 3D models in real time. These data would be used by a computer to calculate rational outcomes and help a robot make decisions about its construction paths and methods. The result of an application pavilion shows that data of raw materials, architectural design, and robotic construction can be integrated into a digital chain. The method and gain of the material-oriented design approach are discussed and future research on using different source materials is laid out.

scholarly journals A Unified Mathematical Approach for Foraging and Construction Systems in a 1,000,000 Robot Swarm

2019 ◽  
Author(s):  
John Harwell
Keyword(s):  
Stochastic Processes ◽  
Task Allocation ◽  
Mathematical Approach ◽  
Unified Approach ◽  
Robot Swarm ◽  
Robot Swarms ◽  
Quantitative Measurements ◽  
Current Task ◽  
Construction Tasks ◽  
Robotic Construction

Automation in construction is possible with systems designed using the swarm robotic principles of scalability, flexibility, robustness, and emergence. We derive quantitative measurements of these principles in 10,000 robot swarms as a first step in achieving this goal. We summarize our recent task allocation work in the context of an object gathering task and demonstrate its feasibility in the context of automated construction tasks. We present a trajectory to extend our current task allocation methodology using stochastic processes in order to present a unified approach to task allocation in swarm-robotic construction

Sign in / Sign up

Export Citation Format

Share Document