Model Terminal

squishy_pick_act

A Hugging Face-hosted robot manipulation policy checkpoint trained with ACT (Action Chunking with Transformers), an imitation-learning approach that predicts short sequences of actions for a robot arm to pick and place objects. The model is trained from demonstration data and targets fine-grained, low-cost robotic manipulation tasks. Source: supabase.

Value score
Not scored
Context
tokens
Max output
tokens
Price

Capability radar

Identity

Openness
Modalities
Release
Knowledge cutoff
Deprecation
API docs

Benchmarks

No benchmark scores yet.

Compare nearby

Pricing

Input / 1M
Output / 1M
Speed