Frontiers

The frontier of bipedal motion: balancing, retargeting human motion-capture data, and the production stacks running on Optimus, NEO, G1, and Atlas in 2026.

~16 min

The hardware that generates VLA training data. Build recipes, cost tradeoffs, and open designs from $20 phone-teleop to $20k full-body MoCap.

~14 min

The sensors finally giving robots touch — and the perception pipelines that consume them. From a $300 fingertip to whole-body e-skins, the modality that's becoming mandatory for dexterous manipulation.

~13 min

OpenVLA, π0, GR00T — collect 200 demonstrations, LoRA-fine-tune, deploy. The end-to-end pipeline that goes from teleop rig to working policy on your specific arm in a weekend.

~18 min

Long-horizon task decomposition, tool use, error recovery — the layer above motion, powered by an LLM. SayCan, Code-as-Policies, VoxPoser, and the modern stacks combining reasoning with classical control.

~14 min

The standards that separate a lab demo from a deployed product. What each requires, how to prepare, and the practical roadmap for taking a robot from prototype to certified.

~12 min

Building a capable robot for $X. Sourcing, the 80/20 of part selection, and the pricing tricks wholesalers hide. The unsexy skill that separates working hardware from PowerPoint.

~12 min

Decentralized control, market-based task allocation, and the patterns for robots that work together. From two-arm assembly to 1000-drone shows.

~12 min

The rigid-robot assumptions that fail in soft systems, and the design tools that don't. The field where everything you learned about kinematics, control, and modeling needs adaptation.

~12 min

What robotics recruiters actually look for. Which projects carry weight, which don't, and the one demo that beats any resume line.

~12 min