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Trajectory Planning for A Dual-arm 3D-printer
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Trajectory Planning for A Dual-arm 3D-printer

Abstract

To enhance additive manufacturing efficiency, we are developing an FDM (Fused Deposition Modeling) printer named DEXTER, which features dual Selective Compliance Articulated Robot Arms (SCARA). Our work involves creating a path planner that generates trajectories for each of DEXTER’s arms while ensuring collision avoidance between them. We introduce a collision-free path planning approach for DEXTER’s arms, utilizing an enhanced Sampling-Based Model Predictive Optimization (SBMPO) technique that integrates A*-based optimization with a Danger Field (DF) method. This DF-SBMPO approach is applied to a dual-arm 3D printing system. Simulation results demonstrate that the improved SBMPO effectively generates smooth, collision-free paths and trajectories, with constraints on velocity and acceleration, for the dual-arm 3D printer system.

Authors

Zhang X; Moore CA

Volume

00

Pagination

pp. 952-957

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

July 10, 2024

DOI

10.1109/icarm62033.2024.10715949

Name of conference

2024 International Conference on Advanced Robotics and Mechatronics (ICARM)
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