🔒 Interview Brief: DexHand Sensing × Data Flywheel
Private interview brief for dexterous hand sensing integration, data collection, consistency, and commercialization. Available on request.
Private interview brief for dexterous hand sensing integration, data collection, consistency, and commercialization. Available on request.
Sensor stack, multi-rate loops, time sync, calibration, and a learning-ready data schema for dexterous hands.
A deployable sensing design for dexterous hands: multi-rate loops + time sync + two-mode data (Deploy vs Research), using A (Teacher→Student distillation) + C (RM/QC flywheel) to get stable deployment and high-resolution research value.
A simple local board for collecting thoughts; great for drafts before turning them into publishable posts. (Notes are stored in your browser’s local storage.)
For VTLA, the safer path is UniVTAC/TacSL + Diffusion Policy first, then Evo-RL for real-robot continual improvement.
Climbing is mostly “estimate friction margin under uncertainty”. This post borrows the friction-cone / pre-slip mindset to design tactile sensing and control loops for dexterous hands.