Bangel Robotics - Observational lifecycle
Bangel Robotics / Brown
MJ Physics Engineering | Bangel Language | MJos Operating System
Owned and operated by Michael Bangel | Clearwater, Florida
OBSERVATIONAL LIFECYCLE
Robotics-focused measurement programming with typed evidence, unit-aware source and bounded computation through Elsa, JP and Joanna.
ORIGIN AND CANDIDATE
Preserve request, source identity and anticipated context. A proposal or forecast is not an acquired observation.
EVIDENCE INTAKE
A robotics measurement declares quantity, units, coordinate frame, acquisition context and source profile.
BOUNDED TRANSFORMATION
Express bounded measurement logic in Bangel; Elsa compiles, JP admission checks the representation and Joanna provides computation evidence. Distinguish observed state, simulation and planned hardware bindings.
RESULT AND RECONCILIATION
Return a measurement or advisory with uncertainty. Physical actuation requires a separate evidenced host contract.
STATE PROFILE RULE
Identify the applicable R/R0/R1/N1-N9/R2 profile before assigning state labels. Historical R1 meanings differ; lower-case neural r0/r9 is separate from runtime R-states and MjQ states. Preserve the original event, missing prerequisite and each later correction.
REENTRY CHALLENGE
A missing observation or changed coordinate frame without a transform must remain a typed error or HOLD.
DISCOVERY NAMES
Bangel Robotics Programming Language
These names aid search; current compiler naming remains Elsa.
SOURCE STATUS AND LIMITS
Current source inspected; these documentary bindings do not report newly executed software or physical tests.
Recovered status: implementation_source_domain_identity.
Software calculations and receipts do not establish a physical robot or actuation backend.
SOURCE REFERENCES
- README.md · line 1
https://github.com/Mjos23/bangel-language/blob/229548f13a4856455b3d30d408cf845fb5b557fc/README.md#L1
- language/python/src/bangel/identity.py · line 6
https://github.com/Mjos23/bangel-language/blob/229548f13a4856455b3d30d408cf845fb5b557fc/language/python/src/bangel/identity.py#L6
RECOVERED HISTORICAL CONTEXT
- Historical scope: Applies the measurement language to robotics examples with explicit PASS, HOLD and missing-measurement behavior.