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Add apple tree collision-aware build script and camera capture rig - #8

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yogesh2850:apple-tree-cameras

Commits on Jul 22, 2026
- Add apple tree collision-aware build script and camera capture rig
  
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Commits on Jul 28, 2026
- Add Gaussian Splatting pipeline: per-tree camera rig, fruit-only, dual strategy
  
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- Sweep capture density and viewing-plane count as separate design axes
  
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- overall md file
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- helios setup
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Commits on Jul 29, 2026
- yogesh_dev
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- Add Phase 0-4 deliverables (yogesh_dev/): radiation cameras, ground truth export, visibility/AVUB, kinematics, map+planners
  
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- Add yogesh_dev/COMPLETE_SETUP.md as an index into Phase 0-5 progress
  
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- Expand COMPLETE_SETUP.md to cover the full plan (Phase 0-8), not just progress so far
  
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- Add Phase 5-6 deliverables (yogesh_dev/): baselines/oracles, metrics harness
  
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Commits on Jul 30, 2026
- Add Phase 7 deliverables (yogesh_dev/): foundation model diagnostics (D1-D6)
  
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- Add yogesh_dev/FINDINGS_SUMMARY.md — synthesis of real findings across Phases 0-7
  
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- Add yogesh_dev/PHASE_BY_PHASE_FINDINGS.md — detailed what-we-did/what-we-found per phase
  
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- Add Phase 8 deliverables and close out the full plan (Phases 0-8 complete)
  
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Commits on Jul 31, 2026
- world_model: W0-W2 -- orchard factory, batched render rig, action space
  
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- world_model: W1 fixes -- ground plane, orientation-only-on-RGB, reprojection check
  
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- world_model: W4 model + evaluation harness + gsplat reference baseline
  
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- world_model: W4 acceptance PASSED, plus an Adam-epsilon divergence found and fixed
  
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- world_model: chain script for W3-verify/W5/W6, log through W4, COMPLETE_SETUP patch note
  
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- world_model: W3 dataset done (64k frames) + verification, and the RGB noise-floor finding
  
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- world_model: W5 training + W6 evaluation at 30k steps, with an honest negative result
  
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- world_model: W5/W6 final results with corrected checkpoint selection, and W7 reports
  
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- world_model: record that the Slack notification could not be delivered
  
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- World model Round 2: growth-channel diagnostics + dataset-scaling scaffolding
  
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- World model Round 2: error attribution says capacity, not data
  
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- World model Round 2: mIoU 0.266 is class collapse, not a plateau
  
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- World model Round 2: quantify the blur and locate the depth error
  
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- World model Round 2: L1 depth option and the combined-fix run
  
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- World model Round 2: seed the recon-floor evaluation
  
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- World model Round 2: separate in- and out-of-distribution dt in the growth eval
  
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- World model Round 2: a blurred-ground-truth control bounds what sharpness allows
  
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- World model Round 2: FINDINGS sections 12-15 (the diagnostics)
  
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- World model Round 2: expose the KL knobs and add the bottleneck run
  
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- World model Round 2: chronological log through the diagnostics phase
  
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- World model Round 2: fix a garbled step reference in the log
  
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- World model Round 2: correct the growth RGB SNR with a same-pose measurement
  
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- World model Round 2: sections 16-17 -- data scaling result and the growth fix
  
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- World model Round 2: retract and correct the blur bound in section 14
  
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- World model Round 2: section 18 -- what actually moved the held-out numbers
  
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- World model Round 2: task-by-task status with acceptance against the criteria
  
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- World model Round 2: log sections 13-16 -- run chronology, the turning point, mistakes, conclusion
  
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- World model Round 2: run stdout logs
  
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Commits

Commits on Jul 22, 2026

Commits on Jul 28, 2026

Commits on Jul 29, 2026

Commits on Jul 30, 2026

Commits on Jul 31, 2026