Daily Summaries

Today’s AI conversation summary

Advanced four parallel research tracks across DCC, tianhe, and local machines: on DCC, completed end-to-end delivery of MIHD cross-slice embedding alignment and batch effect evaluation; on tianhe, launched π₀.₅ task completion detection head training, fixed missing manip_progress recording in the VLA evaluation pipeline, completed LIBERO environment fixes, and designed Exp5-9 configurations; on local, implemented batch task status update intent for CalendarPro, resolving a core defect in high-frequency daily interactions.

DCC: comprehensive code refactoring of the MIHD multimodal spatial transcriptomics project (/simplify fixed 9 issues) with documentation updates. tianhe: multiple researchers in parallel completed robobrain_pi task state machine bug fixes and training loss split monitoring, LIBERO test suite integration confirmation, error recovery benchmark 2920-scene data quality verification, CALVIN format conversion script fix, GPU monitor deduplication and keyboard navigation addition, and RoboCasa MimicGen pretrained data download upstream root cause confirmation.

Parallel progress across three machines — DCC, tianhe, and TzJsDesktop: DCC completed cross-section Foundation Model validation for spatial transcriptomics (scGPT 100% hit rate) and bilingual documentation; tianhe finished the 329-demo VLA error recovery collection plan, full pipeline implementation, fixed the CompositeBodyObject transform bug, and launched batch error scene generation; TzJsDesktop processed 20+ researcher academic profiles in bulk and ran two rounds of Research Profiler refactoring, ultimately fixing systematic S2 disambiguation failures and achieving correct h-index recognition for prominent professors.

Six parallel workstreams across three devices all day: DCC diagnosed the root cause of cross-sample embedding dual non-comparability in MIHD; tianhe completed ErrorRecoveryBenchmark v5 fixes for five failing skills, E2 semantic split (13 skills/29 subtypes), v4 archival, D0 scene generation, and v5.1 planning, while also fixing the full VLA progress prediction training pipeline and debugging UniVLA container compatibility; TzJsDesktop completed CalendarPro’s seven-phase comprehensive optimization (230 tests passing), gadget common/ package and outputs/ unification refactor, research profiler homepage-based student discovery with Hugo deployment, and research toolchain CLI consolidation (citation graph + three-backend LLM support).

Improved GPU monitoring tool UX, completed four-camera visualization for 50 robot demonstration episodes, and designed and implemented a four-group manipulation progress prediction auxiliary task experiment framework in the pi05 VLA model

Added five new per-frame data variables to the RoboTwin Place Dual Shoes robot task and fixed two data collection quality bugs

Debugging multi-layered dependency issues in a VLA robot evaluation environment on the Tianhe server, while improving GPU monitor display logic

Completed a major MIHD output directory restructure and the 151673↔151508 cross-section RM-IDEAL benchmark on DCC; developed a K8s in-container GPU monitoring tool on tianhe, and systematically diagnosed and fixed the 33% performance bottleneck in pi05 VLA training vs. openpi (by aligning 6 key dependency versions including JAX)

Today’s AI conversation summary