About
I am Mingshuo Xiao, an incoming direct PhD student at Tsinghua University with a background in mathematical sciences and engineering physics.
My current focus is Embodied AI, Vision-Language-Action models, robot imitation learning, and real-robot deployment. I care about the full loop from teleoperation data, dataset schema, model training, inference integration, rollout evaluation, to failure analysis.
The main project I want interviewers to inspect first is SO-ARM101 VLA real-robot deployment. I built a pickup-and-putdown pipeline around LeRobot/OpenPI, ACT, Diffusion Policy, SmolVLA, and pi0/pi0.5 deployment validation. I also have hands-on experience in dual-arm manipulation prototypes, RoboCup humanoid robot field deployment, STM32 robot control, and scientific simulation.
Fast entry for interviewers:
Interview Focus
What I can contribute quickly
- LeRobot/OpenPI: data schema, training scripts, inference integration, and rollout debugging.
- Real-robot rollout: success-rate tracking, stage pass rate, latency profiling, and failure taxonomy.
- Robot systems debugging: Linux/Git workflow, ROS2 interfaces, network/IP setup, finite-state machines, and hardware issue diagnosis.
- Modeling & simulation: engineering-physics background for physical-system modeling, parameter scans, and error analysis.
Recent Updates
Launched my public embodied AI portfolio and personal homepage.
Built a public SO-ARM101 project repository for real-robot imitation learning and VLA deployment notes.
Joined THMOS in RoboCup China humanoid Small group and won silver / second place.
Incoming direct PhD student at Tsinghua University.