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Update roadmap across rendering, physics, data, and training - #469

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yuecideng merged 1 commit into
DexForce:mainfrom
yuecideng:docs/update-roadmap
Aug 8, 2026
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yuecideng merged 1 commit into
DexForce:mainfrom
yuecideng:docs/update-roadmap

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Description

This PR updates docs/source/resources/roadmap.md to reflect current development priorities across several product areas.

Changes:

  • Rendering: Add an in-progress item for optimizing batch rendering throughput and latency on graphics cards (e.g. RTX series) and compute cards (e.g. A series).
  • Physics: Add an in-progress item for Newton backend support, along with higher-performance coupled solvers and fluid solvers.
  • Motion Generation: Add a research item for Neural Motion Generation.
  • Data Pipeline: Combine the agentic skill generation and sim-ready asset/scene-layout generation items into a single in-progress Generative Simulation system (Real2Sim pipeline entry unchanged).
  • Models and Training Infrastructure: Replace the VLA framework entry with in-progress APG and motion-control training infrastructure.
  • Embodied Tasks: Mark benchmark tasks as in progress; update the third item to call out more deformable-object environment tasks and mark it in progress.

Dependencies: none

Type of change

  • Documentation update

Checklist

  • I have run the black . command to format the code base.
  • I have made corresponding changes to the documentation
  • I have added tests that prove my fix is effective or that my feature works
  • Dependencies have been updated, if applicable.

Validation

  • black --check passes (627 files unchanged).
  • Confirmed roadmap.md is wired into the Sphinx toctree (docs/source/index.rst).
  • Full Sphinx docs build was not run: this is a content-only edit (text and table rows) to an existing page with no new directives, code blocks, or cross-references, so build risk is negligible relative to the project's existing warning baseline.

🤖 Generated with Claude Code

Add in-progress items for batch rendering optimization, Newton physics
backend with coupled/fluid solvers, and Neural Motion Generation.
Combine the agentic skill and asset/scene-layout generation entries
into a single generative simulation system. Replace the VLA framework
entry with APG and motion-control training infrastructure. Mark
benchmark tasks and deformable-object tasks as in progress.

Co-Authored-By: Claude <noreply@anthropic.com>
Copilot AI lite review requested due to automatic review settings August 8, 2026 05:31
@yuecideng yuecideng added the docs Documentation, API references and example explanations. label Aug 8, 2026
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greptile-apps Bot commented Aug 8, 2026

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Greptile Summary

The PR refreshes the public roadmap to reflect current priorities across simulation, data generation, training infrastructure, and embodied tasks.

  • Adds rendering, Newton physics, and neural motion-generation initiatives.
  • Consolidates generative-simulation work and replaces the VLA entry with APG and motion-control infrastructure.
  • Updates the status and scope of benchmark and deformable-object tasks.

Confidence Score: 4/5

The documentation-only PR appears safe to merge, with one non-blocking clarity issue in the APG roadmap entry.

The roadmap structure and status markers remain valid, but one new user-facing item relies on an unexplained acronym whose meaning is only available elsewhere in the documentation.

Files Needing Attention: docs/source/resources/roadmap.md

Important Files Changed

Filename Overview
docs/source/resources/roadmap.md Updates roadmap capabilities and statuses; the new APG entry should expand or link the acronym for roadmap readers.

Fix All in Codex Fix All in Claude Code

Prompt To Fix All With AI
### Issue 1
docs/source/resources/roadmap.md:66
**Expand the APG acronym**

The new user-facing roadmap entry uses `APG` without expanding or linking it, requiring readers to search elsewhere to learn that it means Analytic Policy Gradients and understand the planned capability.

```suggestion
| 🚧 | Release Analytic Policy Gradients (APG) training infrastructure. |
```

---

For each issue above, determine whether it is valid and should be fixed. If so, fix it directly.

Reviews (1): Last reviewed commit: "Update roadmap items across product area..." | Re-trigger Greptile

@yuecideng
yuecideng merged commit e83b7e2 into DexForce:main Aug 8, 2026
5 checks passed
| Status | Planned capability |
| --- | --- |
| 📌 | Release a modular VLA framework for fast prototyping and training of embodied agents. |
| 🚧 | Release APG training infrastructure. |

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P2 Expand the APG acronym

The new user-facing roadmap entry uses APG without expanding or linking it, requiring readers to search elsewhere to learn that it means Analytic Policy Gradients and understand the planned capability.

Suggested change
| 🚧 | Release APG training infrastructure. |
| 🚧 | Release Analytic Policy Gradients (APG) training infrastructure. |
Prompt To Fix With AI
This is a comment left during a code review.
Path: docs/source/resources/roadmap.md
Line: 66

Comment:
**Expand the APG acronym**

The new user-facing roadmap entry uses `APG` without expanding or linking it, requiring readers to search elsewhere to learn that it means Analytic Policy Gradients and understand the planned capability.

```suggestion
| 🚧 | Release Analytic Policy Gradients (APG) training infrastructure. |
```

---

For each issue above, determine whether it is valid and should be fixed. If so, fix it directly.

Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!

Fix in Codex Fix in Claude Code

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Pull request overview

This PR updates the EmbodiChain Sphinx documentation roadmap (docs/source/resources/roadmap.md) to reflect current priorities across simulation (rendering/physics/motion generation), data pipeline, training infrastructure, and tasks.

Changes:

  • Added new in-progress roadmap items for batch rendering optimization and Newton backend + higher-performance solvers.
  • Consolidated data-pipeline generative items into a single “generative simulation system” entry and refreshed models/training items to focus on APG + motion-control infrastructure.
  • Updated tasks section to mark benchmark and deformable-object task expansion as in progress.

💡 Add a code-review agent skill or configure MCP servers for context-aware, tailored reviews. Learn more in the docs.

| 📌 | Release a Real2Sim pipeline for automatic data generation and scaling from real-world seeding priors. |
| 📌 | Release an agentic skill generation framework for automated expert trajectory generation. |
| 📌 | Release a sim-ready asset and scene-layout generation framework for fast environment prototyping. |
| 🚧 | Release a generative simulation system for automated expert trajectory, asset, and scene-layout generation. |
skywhite1024 pushed a commit that referenced this pull request Oct 19, 2026
Co-authored-by: Claude <noreply@anthropic.com>
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