Learn to Rotate: Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning
Author:
Affiliation:
1. EPSRC Future Advanced Metrology Hub, School of Computing and Engineering, University of Huddersfield, U.K.
2. Alliance Manchester Business School, University of Manchester, U.K.
Funder
EPSRC UKRI Innovation Fellowship
EPSRC New Investigator
EPSRC Future Advanced Metrology Hub
EPSRC Fellowship in Manufacturing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10288179/10054468.pdf?arnumber=10054468
Reference41 articles.
1. Selection of build orientation for optimal support structures and minimum part errors in additive manufacturing
2. Leveraging procedural generation to benchmark reinforcement learning;cobbe;Proc Int Conf Mach Learn,0
3. Orientation analysis of 3D objects toward minimal support volume in 3D-printing
4. MetaDrive: Composing diverse driving scenarios for generalizable reinforcement learning;li;IEEE Trans Pattern Anal Mach Intell,2023
5. A statistical method for build orientation determination in additive manufacturing
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