Robotics benchmarks feel impossible; Drift builds evals for real deployment sites
jonstephens85 · x · 2026-10-31
Drift's @nikhilkr argues that teams running serious robot deployments don't care about standard benchmarks — they want evals tailored to their robot, their use case, and their site. A robot is hardware plus software plus policy, and the whole stack must be tested end to end: a policy that tops a leaderboard can still fail in one particular room, so Drift tests it in that room and a few hundred like it.
jonstephens85 agrees, noting universal benchmarks can't cover enough domains since most robot models aren't generalized to every scenario. He likes Drift's approach: build a known benchmark first, then diversify from there.
More from Embodied
- Waymo's Toyota deal tackles its biggest weakness: getting enough cars — binarybits · 2026-10-31
- OpenAI shows GPT-6 Astra remotely controlling a robot arm in builder community — OpenAIDevs · 2026-10-31
- Johns Hopkins lab makes Unitree G1 humanoid crawl like a spider for Halloween — _krishna_murthy · 2026-10-31
- Real2Sim2Real is hard: even plugging in a network cable demands high sim fidelity — jonstephens85 · 2026-10-31
- Genspark unveils VoicePad, a $99 five-key AI voice gadget now open for pre-orders — Scobleizer · 2026-10-31
- World's first humanoid robot factory for clothing launches, mass-producing Annie robots — CyberRobooo · 2026-10-31