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Solo AUTO study6 min read

Three HIVE TIPs. One autonomous robot.

Research note Uncalibrated simulation

One active autonomous robot reached three completed HIVE TIPs within 30 seconds while its alliance mate remained inactive. Across 20,000 recorded training episodes, the highest safety-qualified active-alliance count was three, appearing in three episodes. No four-TIP solo result appears in this snapshot. [1]

The retained Red replay for seed 32266098 completes its TIPs at 2.517, 15.200 and 28.492 seconds, scoring 70 points against the two scripted opponents' 63. This is a training-episode witness, not the measured reliability of a frozen solo policy or a physical robot. [2]

20,000completed 30-second training episodes
3safe episodes reaching three TIPs
1active robot on the learner alliance
Recorded match // Seed 32266098

Watch one robot complete three AUTO TIPs

Original recorded seed 32266098: the active Red learner completes three TIPs and scores 70; the two scripted Blue opponents score 63 with two TIPs. Red robot 1 is labeled INACTIVE throughout. This is a retained training episode, not a newly simulated match.

Loading the recorded match...

Red alliance
-- points[*]
-- TIPs
Blue alliance
-- points[*]
-- TIPs

[*] Starting score: Each alliance begins with 10 modeled field-content points: 4 GARDEN points (four starting POLLEN at 1 point each) plus 6 HIVE-retained points (three starting NECTAR at 2 points each). These are already present at setup, not earned by robot actions. We keep the original recorded totals; contents points change as pieces move and are not a fixed 10-point bonus. Replay evidence.

Red robots / NECTARBlue robots / NECTARPOLLENDotted border: LOADING ZONE
0.000 sFrame --

Starts paused at 1x. Positions are original recorded frames, not interpolated or resimulated. Exact TIP event timestamps can fall between frames; event jumps show the first recorded frame at or after completion.

Playback provenance

Original recording information appears when playback loads.

Download the sanitized replay data

Source [2]. Uncalibrated simulation; no claim of physical robot performance.

Two TIPs dominate the observed distribution

Active-alliance TIP counts in 19,999 geometry-valid episodes with no PIN or teammate-overrun flags. One flagged episode remains reported but is excluded here. Opponent-alliance outcomes are not included.

0 TIPs34
1 TIP2,205
2 TIPs17,757
3 TIPs3
Scale starts at zero; values are solo training episodes. Source [1].

Make solo mean solo

The v12 experiment controls only one robot on the learning alliance. Its partner receives no drive, intake, shooter, expansion or passing actuation. The partner remains a passive collidable body, so it can be displaced by contact; it is not anchored or removed from the field. [2]

The active robot begins with four carried POLLEN. Exactly four existing teammate preloads rest on the floor touching the inactive robot's front edge. They are not free points or an automatic inventory transfer: the learner must physically collect them. The total modeled inventory stays at 56 pieces, and the 50% open-field AUTO pickup rejection is unchanged. [2]

The pinned TU03 rule review did not permit a starting robot in the LOADING ZONE. Both robots therefore use legal wall starts rather than an invented parked start. The inactive mate receives no initial PARK credit. Rule legality and real field placement must still be checked against the current manual. [2][4]

Two opposing scripted robots remain active. Episodes end at exactly 30 seconds with no TELEOP, ranking points or extra post-cutoff settling credit. Only completed TIP events strictly before 30 seconds enter the AUTO count. [2]

A rare frontier is not a dependable opening

Of the 19,999 safety-qualified training episodes, 34 recorded zero TIPs, 2,205 recorded one, 17,757 recorded two and three recorded three. The three-TIP seeds were 31263128 (Red), 32266098 (Red) and 32266139 (Blue). Only seed 32266098 retains a replay in the inspected snapshot; the other two counts are supported by persisted statistics, not reconstructed trajectories. [1][2]

The final generation-19 frozen evaluation averaged 55.167 AUTO points for the existing champion across 48 balanced-color outcomes. The three candidate mean gains were +0.229, -0.875 and -0.563 points; none passed the promotion gate. This evaluation is separate from the best exploratory training episode. [3]

Optimize the whole refill loop

Without an active partner, preload delivery, travel, gathering and the next volley compete for the same robot's time. That changes the experiment, so the two-robot four-TIP opening cannot simply be advertised as a solo capability. The evidence points to refill scheduling and reliable physical collection as questions to measure next, not to a proven solo ceiling. [1][2]

The October 5 study was paused after 20,000 episodes and its generation-19 evaluation. These posts report the preserved study; preparing this article does not resume training. Three is an observed possibility under these conditions. Repeatable physical three-TIP AUTO remains a separate validation task. [1][3]

The retained solo witness

Red seed 32266098. The third completion leaves about 1.508 seconds before the strict AUTO cutoff. The inactive teammate contributes no actuator commands.

The retained solo witnessCumulative completed TIPs over 30 seconds. Completions: 2.517, 15.200, 28.492 seconds. Exact values are available in the event table below.0s7.5s15s22.5s30s03Completed TIPs
Cumulative events, not motion interpolation. Source [2].
Exact TIP completion times
TIPCompleted atPhase
12.517 sAUTO
215.200 sAUTO
328.492 sAUTO

Training witnesses and retained evidence

Each count belongs to the single active learner's alliance. Missing recordings are explicitly marked; no playback or timestamps are invented.

Training witnesses and retained evidence
SeedAllianceTIPsAlliance pointsEvent replay
31263128Red369Not retained; statistics only
32266098Red370Retained, hash checked
32266139Blue368Not retained; statistics only

Source [1].

Evidence boundary

What this study does not prove

  • The frontier combines changing exploratory training actors; it is not a frozen-policy success-rate estimate.
  • Two of the three frontier episodes lack retained recordings. Their counts are statistical evidence only.
  • Idealized sensors, equal hardware, 2% conditional misses and 0.8-second HIVE movement remain uncalibrated.
  • The inactive teammate's four floor preloads are conserved physical supplies, not automatic learner credit.
  • No four-TIP solo result, proven physical maximum or hardware-ready autonomous routine is established.
BloxBuzz and the RLE

Where to play BIOBUZZ

BloxBuzz is where you can play BIOBUZZ; the RLE is where our agents train and are evaluated. The RLE does not run in Roblox, and our goal is for it to use the same game engine, rules and physics as BloxBuzz. These results come from the RLE, not from BloxBuzz gameplay, and this study does not verify that the two match.

Opens Roblox in a new tab. Roblox's age requirements and privacy practices apply. BloxBuzz is unofficial and is not affiliated with or endorsed by FIRST or RTX.

Play BloxBuzz on Roblox

Sources and evidence

Linked JSON files are sanitized research extracts with sample counts, event witnesses and source hashes. Embedded 2D playback uses exact retained frame coordinates and TIP events; the full original actor logs remain privately retained. These extracts are not a complete reproduction package.

  1. v12 solo all-episode snapshot

    20,000 active-alliance statistics rows; 19,999 pass the stated safety filter. Includes the complete count distribution and all three frontier identities.

  2. Solo actor recording, seed 32266098

    151 retained frames and exact completion events. Original compressed recording SHA-256: 0c46ff7c64d80d911cf48997f4ea35b342b5b2ca8dc03d3fb61349bbc28f2aae. Its pinned setup records the inactive teammate and conserved preloads.

  3. Generation-19 frozen promotion evaluation

    Separate paired 48-outcome champion/candidate evaluation. Includes mean points, gains, rejection decisions and original evaluation-file hash.

  4. Official BIOBUZZ Competition Manual

    TU03 was pinned on October 5 for G304.E, G304.G and section 10.3.4. The linked manual can be updated; consult its current revision before a physical test.

Download the evidence extract

Cookie Coders / Next coordinates

The frontier keeps moving.

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Choose your next experiment.

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  6. Evidence, not hype

    Inside the evidence

    Read the methods, retained event witnesses and limitations. Simulation is a starting point, not a robot record.

    Inspect the sources
  7. BIOBUZZ / FIRST

    Know the game

    Connect the research to BIOBUZZ. Use official FIRST resources and the current rules before a physical test.

    Open game resources

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Research studies use a Reinforcement Learning Environment (RLE). Modeled outcomes need physical validation.