Robotics Systems Engineer · Tesla

Building the systems behind intelligent robots.

From production robotics to robot learning, I work on software that connects autonomy with the physical world.

I'm a Robotics Integrations Engineer at Tesla, with prior experience in industrial AMR systems and robotics research at Georgia Tech.

Explore work ↗ Scholar GitHub LinkedIn Resume
Linhao Bai photographed in Atlanta, Georgia
Atlanta, Georgia

01 / Selected work

Research & real robots

Selected publications and hands-on systems work.

K-UBM visuomotor behavior pipeline

CoRL 2026 · Equal contribution

Going with the Flow: Koopman Behavioral Models as Pseudo Planners for Visuo-Motor Dexterity

Yunhai Han, Jiaqi Fu*, Linhao Bai*, Ziyu Xiao*, et al.

Visual-flow dynamics for dexterous behavior prediction and event-triggered replanning.

Project ↗Paper ↗
Video2Sim2Real pipeline from human video to robot execution

2026 · Sim-to-real

Video2Sim2Real: Full-Stack Autonomous Dexterous Skill Acquisition from a Single Human Video

Yunhai Han*, Jianuo Qiu*, Linhao Bai, Ziyu Xiao, et al.

From a human video to reconstructed simulation, policy learning, and real-robot execution.

Project ↗Paper ↗Code ↗

Real robot · Systems engineering

Real-Time Policy Execution on Dexterous Hardware

ROS-based execution and synchronized control for a Kinova arm and dexterous hands.

Watch demo ↗

02 / Experience

Industry meets research

2026 — Present

Robotics Integrations Engineer

Tesla · Austin, Texas

Production robotics integration, multi-robot orchestration, distributed systems, simulation, and autonomy infrastructure.

2024 — 2026

Graduate Research Assistant

Georgia Tech · STAR Lab

Dexterous manipulation, visuomotor learning, sim-to-real, and real-robot policy execution.

2022 — 2024

Project Manager / Software Engineer

SEER Robotics · Shanghai

Industrial AMR software, fleet integration, localization, and international deployments.

03 / Interests

Looking ahead

Areas I want to keep building toward.

01 / Systems

Autonomy & Robotics Software

Reliable software, distributed robotics, and deployment at physical scale.

02 / Learning

Embodied AI & Robot Learning

Learned behavior, visuomotor models, and real-world intelligence.

03 / Infrastructure

Simulation & Evaluation

Sim-to-real, scalable evaluation, and infrastructure for learning-enabled robots.

04 / Contact

Let's connect.

Interested in robotics systems, autonomy, or embodied AI? Email me ↗