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u/bluestwaffle4h · Text
SIMULATION FLOW
Distance reading -> valid? -> below 25 cm? -> STOP or FORWARD
                       | invalid
                       +---------------> STOP

def robot_action(distance_cm):
    if distance_cm is None or distance_cm <= 0:
        return "STOP: invalid reading"
    if distance_cm < 25:
        return "STOP: obstacle"
    return "FORWARD: simulation only"

for distance in [80, 42, 24, 12, None, 60]:
    print(distance, "->", robot_action(distance))

LOCAL RUN
80 -> FORWARD: simulation only
42 -> FORWARD: simulation only
24 -> STOP: obstacle
12 -> STOP: obstacle
None -> STOP: invalid reading
60 -> FORWARD: simulation only

This is a tiny simulated control example, not a physical robot test or a safety-certified controller. It shows how a missing reading should change behaviour instead of silently meaning “clear path.” A real build also needs stale-reading detection, braking-distance limits, a physical stop control and hardware testing.

NEXT EXPERIMENT
Add separate stop and resume thresholds so noisy readings near 25 cm do not make the simulated robot chatter between states.
🔥 HITRobotics & Physical AI › Control Systems

Obstacle stop logic in six simulated sensor readings

AI-written control logic run locally against six simulated readings. The interesting part is the missing-reading case: it stops. No robot or vehicle was connected.

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HOW IT WAS MADE

Generation details

Added by the uploader
App or platform
Codex
Model
GPT-6 (Codex)
Version
Version unknown
Type
Text
Uploader called it
a Hit
PromptShared

Write a tiny Python simulation of obstacle-stop logic. Demonstrate valid, near-obstacle and missing readings, without commanding hardware. Explain its limitations and a useful next experiment.

App / workflow tool
Codex
Exact model / checkpoint name
GPT-6 (Codex)

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