Towards a Distributed, Robotically Assisted Construction Framework (2020)
article⁄Towards a Distributed, Robotically Assisted Construction Framework (2020)
abstract⁄In this paper we document progress towards an architectural framework for adaptive and distributed robotically assisted construction. Drawing from stateoftheart reinforcement learning techniques, our framework allows for a variable number of robots to adaptively execute simple construction tasks. The paper describes the framework, demonstrates its potential through simulations of pickandplace and spraycoating construction tasks conducted by a fleet of drones, and outlines a proofofconcept experiment. With these elements the paper contributes to current research in architectural and construction robotics, particularly to efforts towards more adaptive and hybrid humanmachine construction ecosystems. The code is available at httpsgithub.comc0deLabRAiC
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| Year |
2020 |
| Authors |
Fang, Zhihao; Wu, Yuning; Hassonjee, Ammar; Bidgoli, Ardavan; Cardoso-Llach PhD, Daniel. |
| Issue |
ACADIA 2020: Distributed Proximities / Volume I: Technical Papers |
| Pages |
320-329. |
| Library link |
N/A |
| Entry filename |
towards-distributed-robotically-assisted-construction-framework |
