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embodied-jev

FBddcz/embodied-jev

MuJoCo Franka Panda workbench where Jev picks bounded simulator actions.

Agent Decisions0.96Runner-up: Game & SimulationQuestionnaire
Automated README summary

Automatically summarized from the README on 22 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A local browser workbench for embodied-AI experiments: three MuJoCo Franka Panda tasks (pick-and-place, stacking, obstacle transport) with visible step-by-step decisions, for people who want to try embodied AI without robot hardware.

How it uses Jev

Jev receives structured text observations (state or RGB-D detection coordinates) and selects among bounded candidates: a preset skill/stage, a short XYZ/gripper step, or a hierarchical subgoal plus per-axis direction. Deterministic code handles IK, safety checks, execution and success evaluation; Jev returns candidate probabilities.

Primitives:choice

Technique worth stealing

Merge independent questions for one state and read out probabilities over a finite candidate set instead of generating text.

Try it

git clone, pip install -e ., npm ci, npm run build, embodied-jev serve --port 8090

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectunclear0.46
  • Shows a System One patternFound in material0.61
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.10
  • Is a runnable toolFound in material0.69
  • Top-10 learning shortlist signalunclear0.43
  • Is a replica of the modelnot found in the excerpt0.20
  • Solves a common problem (0–2)score on a 0–2 scale0.72 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.46Shows a System One pattern0.61Describes handling uncertainty0.05Reports measured numbers0.10Is a runnable tool0.69Top-10 learning shortlist signal0.43Is a replica of the model0.2000.51Solves a common problem (0–2)0.72 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.94Check-up0.68Funnel0.49Inspection0.47Flight recorder0.37Prefetch0.31Blind review0.2600.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 22 Sept 2026.