RGB-Only Reconstruction and MPC
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay, Bowen Wen, Ye Yuan, Stephen Tyree, et al. · 2022-10-21
- Management
- T1 Static Memory
- Memory is built once and reused without change during deployment.
- Representation
- Source- and modality-specific
How experience becomes memory
Each path is one memory component, traced from what is stored to how it is found again.
fixed NeRF-derived scene mesh and Euclidean full signed distance field used by the manipulator controller
- Represented asModality-specific encodings & geometric stateSource- and modality-specific
- Stored inGraph / relational store
- Retrieved byStructure traversal
- Source evidenceSource not retained
Multiple RGB observations are consolidated into a per-scene NeRF; a polygonal mesh and bounding-volume hierarchy are extracted, and signed distances are queried to form an ESDF suitable for downstream robotic planning.Full paper: Sec. III-A Neural Scene Reconstruction from RGB Images · PDF p. 3 · Figure 1; Eq. 1-3
After reconstruction, the scene mesh is loaded into a sampling-based model-predictive controller. The controller repeatedly queries the fixed signed-distance representation to generate collision-free robot motions toward later target poses.Full paper: Sec. III-B Manipulator Control Problem · PDF p. 3 · Figure 1
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