Embodied AI researcher bridging air-ground object search and LLM-driven behavior modeling for autonomous systems
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
17
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-16) 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—
Output is not scored: the underlying data — verified total publication counts and per-venue breakdowns beyond the OpenAlex snapshot — is not yet available. This axis would measure cumulative production volume and its distribution across venues and years.
Impact—
Impact is not scored: citation totals, field-normalized citation impact, and venue-level influence are not available in the current snapshot. This axis would measure how strongly the researcher's work is cited and taken up by the community.
Focus0/100
The focus score is 0, reflecting a broad rather than concentrated portfolio. The OpenAlex topic profile spreads across five clusters — mobile crowdsensing (18), wind and air-flow studies (17), air-quality monitoring and forecasting (16), meteorological phenomena and simulations (9), and robotic path planning (7) — while the field distribution splits evenly at 0.5 embodied AI/computer vision and 0.5 software engineering for autonomous intelligent systems.
Collaboration48/100
Collaboration scores 48, a mid-range level. The profile lists 10 distinct coauthors in the recent window, and both Evolve-reviewed 2026 preprints place this researcher in a middle author position rather than first or corresponding. The frequent-coauthor list — including Boao Yu, Zimo Chen, Junreng Rao, Yue Hu and Yong Zhao — suggests stable team-based work at the National University of Defense Technology rather than large international networks.
Activity100/100
Activity is the strongest axis, scoring 100. OpenAlex counts 35 works in the last three years, and the per-year trajectory has accelerated sharply: from 5–8 publications annually during 2019–2023 to 12 in 2024, 13 in 2025, and 10 already recorded in 2026 — the highest sustained output in a record that dates back to a single 2012 work.
Reproducibility55/100
Reproducibility scores 55, computed from Evolve reviews of 2 papers. Both reviewed preprints — the UAV–UGV object-search benchmark and the LLM-driven BT/FSM conversion framework — carry medium reproducibility readiness: the benchmark ships datasets and an agentic protocol but lacks significance testing, while the conversion pipeline is NuSMV-verified yet rests on informal proofs and weak baselines.
Research summary
Zhu Zhengqiu is a researcher at the National University of Defense Technology (China) whose OpenAlex-resolved profile spans two complementary strands. Bibliometric topic history is anchored in mobile crowdsensing (18 topic matches), wind and air-flow studies (17), and air-quality monitoring and forecasting (16), with further work on meteorological simulation (9) and robotic path planning (7). The two preprints Evolve has reviewed push toward embodied AI and software engineering for autonomous intelligent systems — a split the field distribution reflects at 0.5/0.5. On the embodied side, the researcher co-authored the first UAV–UGV cooperative object-search benchmark, with an agentic protocol lifting success rates on 8 of 9 tested vision-language models by an average of +22.5 percentage points. On the software-engineering side, an LLM-driven framework converts between behavior trees and finite state machines through a NuSMV-verified pipeline. Citation signals are moderately established (h-index 17, i10-index 21), while activity is exceptional: 35 works in the last three years, peaking at 13 in 2025. Both reviewed papers carry medium reproducibility readiness (mean 55/100).
Collaboration pattern
Co-authorship is team-based: OpenAlex records 10 distinct coauthors in the recent window, matching a 10-name frequent-coauthor list (Boao Yu, Zimo Chen, Junreng Rao, Yue Hu, Yong Zhao, Rusheng Ju, Qi Zhang, Yang Shuo, Zhou Peng, Jiao Peng). The collaboration score of 48 is mid-range, and on both Evolve-reviewed 2026 preprints this researcher sits in a middle position without corresponding authorship — consistent with contributing within a NUDT-led group rather than leading it.
Research keywords
Highlights
First UAV–UGV cooperative object-search benchmark
LLM-driven bidirectional BT/FSM conversion framework
Pivot from environmental sensing to embodied autonomy
A topic history led by mobile crowdsensing (18), wind and air-flow studies (17) and air-quality monitoring (16) now pairs with an even 0.5/0.5 field split toward embodied AI/computer vision and software engineering for autonomous intelligent systems, as evidenced by the two 2026 preprints.
Timeline
- 2012Earliest OpenAlex record: 1 publication — a sparse start to a bibliometric trail that stays thin until 2016 (2 works).
- 2017–2018First sustained peak: 9 works in 2017 and 9 again in 2018, the highest annual counts of the early period.
- 2019–2023Steady mid-period output of 5–8 works per year (2019: 7; 2020: 8; 2021: 5; 2022: 5; 2023: 6).
- 2024–2026Renewed acceleration: 12 works in 2024, 13 in 2025, and 10 already recorded in 2026 — 35 works across the most recent three years.
- 2026Two arXiv preprints enter the Evolve catalog: the first UAV–UGV cooperative object-search benchmark, and an LLM-driven behavior-tree/finite-state-machine conversion framework.
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.
- Bibliometric metrics (h-index 17, i10-index 21, per-year counts) come from OpenAlex only; other databases are not represented.
- Identity is name-resolved from public bibliographic data; Zhu Zhengqiu is a common Chinese name, so the topic history may include homonym records.
- Output and impact dimensions are unscored because citation totals and citation-impact data are missing from the snapshot.
- Reproducibility (mean 55) rests on Evolve reviews of only 2 papers, both 2026 arXiv preprints.