Evaluation framework

FieldBench

FieldBench is being designed to evaluate autonomous and multimodal systems under real agricultural operating conditions.

In developmentInternal
Type
Real-world physical-intelligence evaluation framework
Version
Pre-release
Record updated
2026
In development

Specifications, performance results and access information will be published after internal and external evaluation.

00 / Overview

Real-world physical-intelligence evaluation framework

FieldBench is being designed to evaluate autonomous and multimodal systems under real agricultural operating conditions.

01 / Status

Research lifecycle and evidence basis.

In developmentInternal

This record does not represent an open release or commercial deployment unless that lifecycle status is stated explicitly.

02 / Intended capabilities

Capabilities under investigation.

  • Mission completion measurement
  • Human intervention tracking
  • Failure and recovery analysis
  • Generalization to unseen farms
  • Safety behavior evaluation
  • Offline performance evaluation
  • Energy-use measurement
  • Cost-per-useful-task analysis

03 / Research objective

Research objective

Develop evaluation protocols that make operational usefulness, safety, uncertainty, intervention and recovery measurable over time.

04 / Inputs

Inputs

  • Mission definition
  • System events
  • Intervention logs
  • Safety events
  • Energy and timing records
  • Outcome records

05 / Outputs

Outputs

  • Protocol-specific evaluation record
  • Failure taxonomy
  • Intervention analysis
  • Longitudinal comparison

06 / Architecture overview

Architecture overview

FieldBench is a proposed protocol and tooling framework rather than a single fixed model architecture.

07 / Training approach

Training approach

Not applicable as a single training recipe. Individual evaluation components may use models that will be documented separately.

08 / Data provenance

Data provenance

Evaluation records will require environment, operator, machine and consent provenance. Private test sets may remain undisclosed.

09 / Evaluation

Evaluation

The framework itself will be evaluated for repeatability, coverage, leakage resistance and usefulness in identifying operational failure.

10 / Known limitations

Known limitations

  • In development
  • Protocols are not yet public
  • Comparisons require carefully matched tasks and operating conditions

11 / Safety considerations

Safety considerations

Benchmarks do not establish complete safety. Evaluation must be paired with engineering controls and operational procedures.

12 / Intended use

Intended use

Research evaluation of multimodal and embodied systems in agricultural environments.

13 / Out-of-scope use

Out-of-scope use

Certification claims or broad safety guarantees without independent review.

14 / Access and licensing

Access and licensing

Specifications, performance results and access information will be published after internal and external evaluation.

15 / Technical report

Technical report

Technical report forthcoming. No public report is available.

16 / Citation

Citation

Citation information is not yet available.

17 / Version history

Version history

Pre-release framework record. No public version has been issued.

18 / Responsible disclosure

Responsible disclosure

Potential evaluation-integrity or safety concerns may be reported to hello@sinuosity.ai.