Early-stage robot learning profile: last-author 2026 arXiv work on latent world models and VLA action calibration
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
—
works · OpenAlex
—
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-09) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
No publication counts, venue history, or citation totals are available yet. This axis would measure annual paper output, preprint-to-publication conversion, and venue quality; it cannot be scored from the current two-paper arXiv snapshot.
Impact—
Citation counts, h-index, and downstream adoption are absent from the input data, so impact is unscored. This axis would measure citation accumulation, reference by follow-up world-model and VLA work, and influence on evaluation practice.
Focus0/100
The radar focus score is 0. The underlying field distribution splits evenly, 0.5 to 'robotics / embodied machine learning' and 0.5 to 'robot learning / world models (machine learning for robotics)', across only two catalog papers. The two subfields are adjacent, but with an exact 50/50 split on such a small sample, the data indicates breadth across both rather than concentration in either.
Collaboration46/100
Collaboration scores 46. The snapshot records 9 distinct coauthors, including recurring names Shuaijun Liu, Feiyang You, Chengyu Wu, Shuyang Hao, Chenglong Zhang, Jingyao Cai, Xingwei Chen, Qifu Wen, and Xi Lin. Both catalog papers place the author in the last position without corresponding authorship, a pattern commonly associated with a senior or supervisory role rather than a broad international network.
Activity—
No multi-year publication timeline or venue cadence is provided beyond two 2026 arXiv preprints. This axis would measure publication frequency, recency, and sustained engagement; the current snapshot cannot support an activity score.
Reproducibility55/100
Reproducibility scores 55, the mean across 2 repro-assessed papers. Both catalog papers carry a medium repro-readiness rating. Evolve's verdict on D-JEPA notes no released code alongside cohort-selection and tiny-driving-set concerns, while BAS-VLA offers solid simulations but narrow preservation evidence, so medium readiness with visible gaps defines this axis.
Research summary
Ningxin Su is an early-stage profile built from public bibliographic data, currently centered on robot learning and embodied machine learning. The Evolve catalog contains two 2026 arXiv preprints, both with the author in the last author position and neither as corresponding author. The first, D-JEPA, re-ranks latent-world-model candidate futures through a bounded set transformer to close a decision-local gap, reporting consistent simulation and real-robot gains while Evolve flags cohort selection, a tiny driving set, and no released code. The second, BAS-VLA, introduces a task-semantic action calibration layer for frozen vision-language-action models that stays stable under appearance shift but breaks under semantic change (0% stale success), with solid simulations yet narrow preservation evidence. Radar scores computed from bibliometric data give collaboration 46 and reproducibility 55 (the mean across 2 repro-assessed papers, both rated medium readiness), while the focus score of 0 reflects an even 0.5/0.5 field split between two adjacent robotics subfields. Output, impact, and activity axes currently lack data. The snapshot lists 9 distinct coauthors, including recurring collaborators such as Shuaijun Liu, Feiyang You, and Chengyu Wu.
Collaboration pattern
The snapshot lists 9 distinct coauthors, with recurring collaborators Shuaijun Liu, Feiyang You, Chengyu Wu, Shuyang Hao, Chenglong Zhang, Jingyao Cai, Xingwei Chen, Qifu Wen, and Xi Lin. Both papers place Ningxin Su in the last author position without corresponding authorship, consistent with stable small-team collaboration in a single robotics-focused cluster; no cross-institution or international co-authorship pattern is visible in the provided data.
Research keywords
Highlights
D-JEPA: decision-aligned re-ranking of latent world model futures
BAS-VLA: task-semantic action calibration for frozen VLA models
Last-author placement on both 2026 arXiv contributions
Both catalog papers (D-JEPA and BAS-VLA) list Ningxin Su in the last author position and neither as corresponding author, within two adjacent robotics subfields each accounting for 0.5 of the field distribution.
Timeline
- 2026Posted D-JEPA on arXiv: a decision-aligned latent world model that re-ranks candidate futures with a bounded set transformer, in the last author position.
- 2026Posted BAS-VLA on arXiv: task-semantic action calibration for frozen vision-language-action models, again in the last author position.
- 2026The 2026 Evolve snapshot records 2 papers, 9 distinct coauthors, and a 0.5/0.5 field split between robotics/embodied ML and robot learning/world models.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Profile is name-resolved from public bibliographic data; 'Ningxin Su' may correspond to multiple researchers, and no institution, country, or ORCID was provided for disambiguation.
- Radar scores and the field distribution are computed from a public bibliometric snapshot; no citation counts, h-index, or venue history were provided.
- Only two 2026 arXiv preprints are in scope; the output, impact, and activity dimensions lack sufficient data and are not scored.
- Both papers are recent preprints whose peer-review status and final venues are unknown; reproducibility figures cover only the 2 assessed papers.