Robot Data and Hardware

Design robot speed and separation monitoring with approach paths, sensing delay, stopping tests, uncertainty, occlusion, speed zones and controlled restart.

Compress robot VLAs with quantization and distillation. Audit calibration data, kernels, memory, tail latency, power, action error and closed-loop regression.

Build long-horizon robot task memory and recovery with task graphs, postconditions, idempotency, retry budgets, checkpoints and human handoff.

Build robot reward models from human and video feedback. Audit rubrics, comparisons, calibration, reward hacking, policy effects and independent judgment.

Compare continuous robot actions, discrete bins and compressed tokens. Audit ranges, clipping, reconstruction, horizon, latency and controller replay.

Design robot policy uncertainty and abstention with calibration, risk-coverage curves, lead time, human handoff, fallback outcomes and safe re-entry.

Choose LoRA, adapters or full robot VLA fine-tuning by distribution shift, data and compute. Test retention, action decoding and deployment bundles.

Design robot policy runtime safety shields with executable constraints, CBFs, predictive filters, state uncertainty, deadlines, fallbacks and audits.

Augment robot vision data without breaking action labels. Audit crops, flips, camera geometry, temporal consistency, clipping and hardware replay.

Version robot datasets with immutable IDs and manifests linking raw episodes, labels, transforms, splits, statistics, training runs and deployed models.