A hierarchical framework decomposes trajectory planning for articulated aerial robots into global anchor states and parallel local optimization to produce collision-free, dynamically feasible paths directly from point clouds.
FAST-LIO2: Fast Direct LiDAR-Inertial Odometry,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
FUSE introduces a unified interface for state estimation in SLAM that separates key design choices, with a LiDAR-IMU example showing 1.626m error on a 418m sequence, 7.9% better than Faster-LIO.
citing papers explorer
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Hierarchical Trajectory Planning of Floating-Base Multi-Link Robot for Maneuvering in Confined Environments
A hierarchical framework decomposes trajectory planning for articulated aerial robots into global anchor states and parallel local optimization to produce collision-free, dynamically feasible paths directly from point clouds.
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FUSE: A Framework for Unified State Estimation in Vehicular and Robotic SLAM Systems
FUSE introduces a unified interface for state estimation in SLAM that separates key design choices, with a LiDAR-IMU example showing 1.626m error on a 418m sequence, 7.9% better than Faster-LIO.