Fei Gao, tenured associate professor of aerial robotics at Zhejiang University
Photo: Courtesy of Fei Gao via his official research-group website; photographer not stated · Publisher-directed editorial display; source copyright retained

FigureAsia 35 Under 35 · Science

Fei Gao

Age 32 · Autonomous aerial systems · China

Corresponding author of a 2025 Science Robotics system for continuous autonomous aerobatic flight through constrained spaces.

Approximate age at the edition eligibility date
32
Field
Robotics
Country or region
China
FigureAsia U35 Assessment
87.4 / 100

Career and documented record

Autonomous drones are usually planned with conservative margins that break down when space is tight and manoeuvres approach the vehicle's dynamic limits. Fei Gao's group reported a 2025 Science Robotics system capable of continuous aerobatic flight through complex obstacles without relying on pre-scripted motion.

The work integrates perception, trajectory generation and control tightly enough to exploit aerodynamic capability that conventional autonomous planners leave unused. Gao is the corresponding author and academic laboratory leader, even as he also works to translate the technology commercially.

The demonstration does not make aggressive autonomous flight universally safe. It does show that online planning can operate in a regime previously dominated by expert human pilots and carefully rehearsed trajectories.

Why Fei Gao is on the list

Gao's result is selected for unifying algorithms and physical flight at a level of difficulty that cannot be simulated away. The system performs its claim on hardware, in constrained environments and under the dynamics that make the problem consequential.

The 2025–26 record

Autonomous aerobatics

Corresponding-authored a Science Robotics system for continuous aggressive flight.

Constrained-space tests

Demonstrated online manoeuvres through complex obstacles near vehicle limits.

Academic programme

Continued an integrated research line in planning, control and aerial robotics.

The work in its field

High-agility autonomy demands that perception, planning and control operate on the same rapid timescale. A weakness in any layer becomes a physical crash rather than a lower benchmark score.

Assessment breakdown

87.4out of 100

01

Substantive 2025–2026 contribution

16.6 / 20

Corresponding-authored a Science Robotics system for continuous aggressive flight.

02

Verified scientific impact

13 / 15

The hardware demonstrations set a demanding reference for agile autonomy and attracted international robotics attention.

03

Originality and distinction

8.8 / 10

The distinction lies in online planning and control that use rather than avoid the vehicle's extreme dynamic envelope.

04

Field influence

8.8 / 10

The contribution gives autonomous aerial systems a new method, limit or line of argument with relevance beyond one paper.

05

Individual agency

8.8 / 10

Gao is corresponding author and laboratory principal investigator; the profile does not merge his academic and company teams.

06

Durability and trajectory

4.5 / 5

The record shows continuity at Zhejiang University: this contribution belongs to a wider, sustained agenda.

07

Asian significance and global relevance

4.5 / 5

Chinese roboticist leading autonomous-flight research at Zhejiang University.

08

Evidential validity and reproducibility

7.1 / 8

Physical demonstrations support the claim inside tested environments; public-safety certification is not inferred.

09

Advance in scientific knowledge

6.2 / 7

The work shows how tightly coupled planning and control can expand the reachable set of autonomous flight.

10

Translational or methodological utility

4.5 / 5

The approach may inform inspection, rescue and navigation where vehicles must move through narrow, changing spaces.

11

Responsible research stewardship

4.6 / 5

Deployment risk, certification and failure tolerance remain explicit limits on translation.

Evidence and attribution

Material claims on this page are supported by the edition’s evidence record. FigureAsia tests age, identity, role, result and individual attribution before publication. Public profiles present the reported record; supporting documentation is retained for accuracy review and corrections.

Achievement records
3
Assessment window
2025–26
Editorial status
Included in the 2026 FigureAsia 35 Under 35 edition

Rights and credit

The portrait is published under the rights basis recorded for this edition. Third-party ownership and reuse restrictions remain in force.

Publication status
Published under a documented rights basis
Credit
Courtesy of Fei Gao via his official research-group website; photographer not stated
Licence
Publisher-directed editorial display; source copyright retained
Portrait source and credit