Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

rebot_act_flipbread_44eps_mi300x_b16_10000steps – AI Model by fbsh96 | AlphaNeural AI

You can deploy this model and start earning money today!

fbsh96/
rebot_act_flipbread_44eps_mi300x_b16_10000steps

like

0

imitation-learning

Views

No views yet

reBot ACT Flip-Bread 44-Episode MI300X Checkpoint

This is a LeRobot ACT policy checkpoint trained on the merged 44-episode reBot/B601 flip-bread dataset:

Lisette1231/20260425_flipbreadtopot1
Lisette1231/20260425_flipbreadtopot2
Lisette1231/20260425_flipbreadtopot3
Lisette1231/20260425_flipbreadtopot4_newway
Lisette1231/20260425_flipbreadtopot5_newway

Model

policy type: act
robot type: seeed_b601_dm_follower
state/action dimension: 7D
image inputs: observation.images.front, observation.images.wrist
action horizon: 50
training host: AMD Instinct MI300X VF / ROCm
training steps: 10000
batch size: 16
final training loss: about 0.124

Validation

The checkpoint was reloaded successfully and validated on MI300X with synthetic reBot observations:

predict_action_chunk output: (1, 50, 7)
DRTC loopback returned action chunk: (50, 7)
DRTC loopback after warmup: about 72 ms
server observation-to-action-send: about 48.9 ms

Safety Note

This is a validation / offline imitation checkpoint. It has not been proven safe for autonomous real-robot closed-loop execution. Use logging-only replay, action clipping, rate limits, joint limits, and an emergency stop path before any actuator execution.