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Droid/Integration evidence

From ergonomic data
to joint references.

Trace TESOLLO’s published MANUS ROS 2 retargeting example into DG-5F-M joint references. Separate calibration, model selection and code evidence from tested deployment.

Published example · not tested by Droid

MANUS ROS stream → DG-5F-M

TESOLLO publishes a ROS 2 retargeting node that maps MANUS ergonomic data into DG5F joint references. The model-specific package is identified as DG-5F-M by its parent workspace.

Read the pinned example ↗
MANUS ergonomic stream→Rule-based retargeting→DG5F joint references→Physical controller

The example does not identify an exact MANUS glove or firmware combination. It is a rule-based mapping with calibration factors, not evidence of a tested production deployment or autonomous task success.

What the example actually establishes

BoundaryPublished evidenceRemaining check
InputMANUS ROS messages containing ergonomic values. TESOLLO ↗The exact glove, SDK, firmware and license combination is unspecified.
MappingA heuristic maps 20 ergonomic values to 20 joints and applies calibration factors. TESOLLO ↗Operator proportions and task demands can require tuning. Matching vector lengths does not prove matching kinematics.
OutputJoint references go to the DG5F controller. The parent workspace identifies that model package as DG-5F-M. TESOLLO ↗ TESOLLO ↗Confirm left/right model, physical mode, limits and command-loss behavior.
PerformanceCode and instructions are published.No sustained uptime, task-success rate or independent end-to-end latency result is established in this review.

A versioned interface is the useful deliverable.

  1. Record the exact glove and hand configuration beside the pinned retargeting commit. The generic MANUS input label must not become a claim that every glove model is compatible.
  2. Replay a known pose fixture through the mapper without physical motion. Check hand side, joint ordering, zero points, signs, scaling and limits before evaluating the task.
  3. Measure the whole loop after a supervised bring-up: capture timing, controller response, operator intervention, tracking loss and recovery. A successful retargeting clip is evidence of that demonstration, not autonomous production.

Source record

  1. MANUS stream to DG5F retargeting ↗TESOLLO · Commit 9e9af12; glove model and firmware unspecified · Checked 2026-11-10
  2. TESOLLO ROS 2 workspace and architecture limits ↗TESOLLO · Commit 1307f7d; pinned per-model submodules · Checked 2026-11-10
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