Vision-augmented robotic fabrication (V-aRF): systematic review on contemporary approaches and computational methods in architectural fabrication and assembly …

ÖB Çapunaman, B Gürsoy - Construction Robotics, 2024 - Springer
This systematic review examines the integration of vision systems into robotic fabrication
workflows in architecture, emphasizing current methods, computational strategies, and both …

Mobile robotics and 3D printing: addressing challenges in path planning and scalability

M Rastegarpanah, ME Asif, J Butt, H Voos… - Virtual and Physical …, 2024 - Taylor & Francis
ABSTRACT Mobile Additive Manufacturing (MAM) systems are transforming large-scale
fabrication across various industries, particularly in building and construction. This review …

A new concept for large additive manufacturing in construction: tower crane-based 3D printing controlled by deep reinforcement learning

F Parisi, V Sangiorgio, N Parisi, AM Mangini… - Construction …, 2024 - emerald.com
Purpose Most of the 3D printing machines do not comply with the requirements of on-site,
large-scale multi-story building construction. This paper aims to propose the …

A vision-based sensing framework for adaptive robotic tooling of indefinite surfaces

ÖB Capunaman, W Dong, B Gürsoy - Construction Robotics, 2022 - Springer
Although robotic arms provide precision and control in the fabrication process, they are
limited in sensing the environment and responding to it accordingly. This limitation poses …

[HTML][HTML] Preserving Woodcraft in the Digital Age: A Meta-Model-Based Robotic Approach for Sustainable Timber Construction

Z Lai, Y Xiao, Z Chen, H Li, L Huang - Buildings, 2024 - mdpi.com
This study presents an innovative approach to sustainable timber construction by integrating
traditional woodworking techniques with advanced robotic technology. The research …

Machine learning and sensor-based approach for defect detection in MEX additive manufacturing process-A Review

A Selot, RK Dwivedi - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
Defect detection in the material extrusion process is of prime importance to enhance the
production of high-quality parts with more complex designs and reduction of defects. This …

Data-driven linear quadratic tracking based temperature control of a big area additive manufacturing system

E Zavrakli, A Parnell, A Dickson, S Dey - Journal of Intelligent …, 2024 - Springer
Designing efficient closed-loop control algorithms is a key issue in Additive Manufacturing
(AM), as various aspects of the AM process require continuous monitoring and regulation …

[HTML][HTML] Too hot to print, too slow to handle; finding optimal path characteristics for WAAM

I Sideris, J Petrik, M Bambach - Manufacturing Letters, 2024 - Elsevier
Abstract Wire+ Arc Additive Manufacturing (WAAM) is recognized as a highly capable metal
additive process. However, the quality of manufactured parts is often compromised by …

Towards an AI-Based Framework for Autonomous Design and Construction: Learning from Reinforcement Learning Success in RTS Games

A Elmaraghy, J Montali, M Restelli, F Causone… - … on Computer-Aided …, 2023 - Springer
The present study summarizes the state-of-the-art research in deep reinforcement learning
(DRL) techniques in the architecture, engineering and construction industry and it formulates …

Grading Threads. Exploiting Viscous Thread Instability for the additive fabrication of Functionally Graded Structures via sensor-adaptive robotic control

M Palma - Architecture, Structures and Construction, 2023 - Springer
We present a novel computational fabrication method for the production of Functionally
Graded Structures (FGS) via robotic control of Viscous Thread Instability (VTI). Of interest in …