Physical AI Systems & Data Strategy Consulting.
Direct architectural guidance for frontier robotics labs and AI teams. We help you design hardware sensor rigs, establish data scaling budgets, bridge sim-to-real transfer gaps, and structure production data pipelines.
Core Practice Areas
Sensor Rig & Hardware Topology
Camera extrinsics, eye-in-hand vs. overhead viewpoints, tactile sensor placement, and sub-millisecond PTP IEEE 1588 hardware synchronization.
- —Optimal field-of-view (FOV) and lens distortion calibration to avoid peripheral action cutoff.
- —Hardware PPS trigger architecture to eliminate cross-stream sensor drift (< 2ms).
- —Sensor mounting rigidity and vibration dampening for high-acceleration teleop arms.
Data Budgeting & Scaling Laws
Calculating the exact demonstration volume, task entropy, and spatial coverage needed to achieve policy convergence before committing capital.
- —Sample efficiency modeling for Diffusion Policy, ACT, and large VLA architectures.
- —Initial condition distribution sampling to prevent narrow-distribution overfitting.
- —Benchmark testbed design: measuring out-of-distribution generalization vs. memorization.
Sim-to-Real Transfer Protocols
Bridging the visual and dynamical sim-to-real gap using calibrated digital twins in Isaac Sim and Genesis.
- —Physical parameter identification: friction, compliance, and actuator backlash matching.
- —Domain randomization boundaries: lighting, texture, and object mesh perturbation.
- —Mixed-data pretraining: determining the optimal ratio of synthetic to real demonstration batches.
Ontology & Quality System Design
Engineering custom verb-noun taxonomies, critical milestone guidelines, and automated QA validation harnesses.
- —Formulation of task-specific atomic verbs and failure classification schemas.
- —Automated sensor validation scripts: joint limit checks, velocity bounds, and collision flags.
- —Inter-annotator agreement frameworks and multi-pass review protocols.
How We Work With Robotics Teams
Rig & Pipeline Audit
A 2-week intensive technical diagnostic of your current teleoperation rigs, sensor timing synchronization, and dataset quality before you scale collection.
Architecture Co-Design
End-to-end design of your collection testbeds, sensor mounting CAD, PTP network infrastructure, and MCAP/LeRobot action tokenization pipelines.
Embedded Solutions Fellow
A dedicated senior robotics & tactile engineer embedded with your lab team for multi-quarter policy scaling and hardware deployment milestones.
Schedule an initial architectural review with our principal engineers.
We evaluate your sensor topologies, data schemas, and policy training constraints to provide concrete actionable recommendations.