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arXiv Robotics — research abstracts· Rohun Kshirsagar, Diana Rypkema·· 4 days agoSignalEditorial score75

Closed-Loop Physics-Based Manipulation Evaluation at a Commodity Price: What 4.4 L4 GPU hours at $3.50 Buys You

Closed-Loop Physics-Based Manipulation Evaluation at a Commodity Price: What 4.4 L4 GPU hours at $3.50 Buys You

Summary

This paper introduces an affordable and reproducible evaluation harness for physics-based robotic manipulation, demonstrating that high-scale statistical evaluations can be performed on commodity hardware for approximately $3.50 USD and 38 minutes of wall-clock time per replication. The authors report a negative result regarding action chunking with sparse data, showing zero genuine successes across 780 rollouts for three independently trained chunked checkpoints compared to success rates between 2.6% and 11.8% for single-step checkpoints. The work isolates failures to the training formulation and multi-step prediction mechanisms rather than open-loop execution, aiming to democratize policy development and evaluation.

Editorial context

The authors present a reproducible evaluation harness for contact-rich robotic manipulation that runs on commodity serverless GPUs, reporting specific failure rates for action chunking strategies under partially controlled conditions.

Source: arXiv Robotics — research abstracts · Read original article ↗

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What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • GPU hours

    4.4

    View original evidence
    $3.50 USD and 38 minutes of wall-clock per replication (4.4 L4-GPU-hours across eight parallel shards). Using the harness, we report a partially controlled negative result on action chunking with sparse data: three independently trained chunked checkpoints produce zero genuine successes across 780 rollouts, while three single-step checkpoints range from 2.6% to 11.8% success rate. A per-step-replanning control partia
    Open source S3
  • wall-clock time

    38 minutes

    View original evidence
    $3.50 USD and 38 minutes of wall-clock per replication (4.4 L4-GPU-hours across eight parallel shards). Using the harness, we report a partially controlled negative result on action chunking with sparse data: three independently trained chunked checkpoints produce zero genuine successes across 780 rollouts, while three single-step checkpoints range from 2.6% to 11.8% success rate. A per-step-replanning control partia
    Open source S3
  • rollouts

    780

    Reported trials

    View original evidence
    $3.50 USD and 38 minutes of wall-clock per replication (4.4 L4-GPU-hours across eight parallel shards). Using the harness, we report a partially controlled negative result on action chunking with sparse data: three independently trained chunked checkpoints produce zero genuine successes across 780 rollouts, while three single-step checkpoints range from 2.6% to 11.8% success rate. A per-step-replanning control partia
    Open source S3
  • Reported success rate

    11.8%

    View original evidence
    $3.50 USD and 38 minutes of wall-clock per replication (4.4 L4-GPU-hours across eight parallel shards). Using the harness, we report a partially controlled negative result on action chunking with sparse data: three independently trained chunked checkpoints produce zero genuine successes across 780 rollouts, while three single-step checkpoints range from 2.6% to 11.8% success rate. A per-step-replanning control partia
    Open source S3
  • GPU hours

    4.4

    View original evidence
    Closed-Loop Physics-Based Manipulation Evaluation at a Commodity Price: What 4.4 L4 GPU hours at $3.50 Buys You
    Open source S1
  • rollouts

    200

    Reported trials

    View original evidence
    arXiv:2611.07441v1 Announce Type: new Abstract: Running evaluations of contact-rich robotic manipulation at statistical scale has largely been possible only at well-resourced labs, highlighting the need for affordable and efficient options for broader audiences. We present a reproducible evaluation harness wrapper based on a previous study at 200-rollout scale on serverless commodity GPUs, at a cost of approximately
    Open source S2
  • paper: not_reported

What remains unknown

Not established in the collected evidence: Environment, Control, Data origin.

Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

$3.50 USD and 38 minutes of wall-clock per replication (4.4 L4-GPU-hours across eight parallel shards). Using the harness, we report a partially controlled negative result on action chunking with sparse data: three independently trained chunked checkpoints produce zero genuine successes across 780 rollouts, while three single-step checkpoints range from 2.6% to 11.8% success rate. A per-step-replanning control partia

Open source S3

arXiv:2611.07441v1 Announce Type: new Abstract: Running evaluations of contact-rich robotic manipulation at statistical scale has largely been possible only at well-resourced labs, highlighting the need for affordable and efficient options for broader audiences. We present a reproducible evaluation harness wrapper based on a previous study at 200-rollout scale on serverless commodity GPUs, at a cost of approximately

Open source S2

Closed-Loop Physics-Based Manipulation Evaluation at a Commodity Price: What 4.4 L4 GPU hours at $3.50 Buys You

Open source S1

Source:arXiv Robotics — research abstracts · arxiv.org

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