PACT boosts safe robotic GPU assembly with constraint gradients
stepjamUK · x · 2026-07-20
PACT tackles the problem of robots assembling GPUs and other delicate hardware by treating physical safety as a post-training alignment problem.
- A pretrained diffusion policy is projected into a constraint-feasible region using only its own rollouts.
- No demonstrations, reward function, or test-time guardrails are used.
- The method distills a dense constraint gradient into every diffusion timestep and tightens constraints via curriculum learning.
- Results: across 7 simulation bimanual benchmarks and 4 real-world tasks, safety violations fell by 31% on average while task success rose by 30.7%.
- On the real GPU assembly task, safe rate improved by 36% and task progress by 47%, the largest gain among the tested tasks.
The main takeaway is that where the constraint gradient is injected matters more than simply adding more compute.
Related event: PACT Framework Enhances Robot Safety in GPU Assembly(2 posts)→
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