CV

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Contact Information

Name Mo Xu

Experience

  • 2026

    Madison, WI

    Non-Verbal Human Behavior Understanding for Interactive VLA Systems
    University of Wisconsin-Madison | NSF HAND ERC
    • Prototyped a hierarchical VLM-VLA system for non-verbal HRI that maps visual observations of human behaviors and human-object interactions to context-aware robot instructions.
    • Integrated fast and reasoning Qwen VLMs with π0.5 execution, enabling high-level behavior interpretation and planning to drive vision-conditioned low-level robot actions.
  • 2025 - 2026

    Madison, WI

    Bimanual Dexterous Manipulation for Real-World Jar Opening
    University of Wisconsin-Madison | NSF HAND ERC
    • Developed a unified PPO policy for bimanual dexterous manipulation, learning grasp acquisition, grasp-to-twist transition, and sustained lid twisting without explicit task-phase input; achieved 88% success (53/60 trials) across six real-world household containers.
    • Introduced a geometric hand-object enclosure representation with a continuous measure to guide grasp formation and a binary indicator to encode the grasp-to-twist transition within a unified policy.
    • Designed a three-stage curriculum for contact-reconfiguration exploration and sim-to-real adaptation, enabling emergent finger gaiting to sustain lid rotation beyond the motion range of a fixed grasp.
    • Scaled asymmetric PPO to 4,096 GPU-parallel environments in mjlab/MuJoCo and deployed the policy zero-shot on dual Franka arms with TESOLLO dexterous hands and RGB-D object state estimation.
  • 2025 - 2026

    Madison, WI

    Immersive Robotic Telepresence via Online 3D Gaussian Splatting
    University of Wisconsin-Madison
    • Engineered and deployed a real-world VR robotic telepresence system integrating Stretch 3, RealSense RGB-D sensing, Meta Quest/OpenXR, and a remote online 3D reconstruction and rendering pipeline.
    • Implemented a ZeroMQ-based RGB-D streaming pipeline for external RealSense cameras, bypassing ROS 2 image topics for low-latency camera transport between the robot and remote host.
    • Integrated OpenXR/Meta Quest teleoperation with the Stretch ROS 2 stack for bidirectional robot control and immersive live remote exploration.
  • 2023 - 2024

    Ann Arbor, MI

    Real-Time Social Navigation in Human Environments
    University of Michigan-Ann Arbor | Fluent Robotics Lab
    • Developed a real-time social navigation system and research platform on a Hello Robot Stretch, extending its ROS stack for data collection.
    • Built a real-time perception pipeline with YOLOv8 to detect and track human positions and skeletal keypoints from an RGB-D camera, using a Kalman filter variant to estimate 3D features from point-cloud depth.
    • Implemented Human Scene Transformer to forecast pedestrian trajectories and model predictive control to avoid collisions with pedestrians.
  • 2023

    Hangzhou, China

    Amphibious Quadruped Robot with Reinforcement Learning
    Westlake University | I4FSI Lab
    • Developed a 12-DoF amphibious quadruped robot, designing thrust and buoyancy modules for underwater adaptation and a Raspberry Pi 4B control platform with servo and IMU interfaces.
    • Built an underwater inverse-kinematics model and an empirical LSTM thrust model.
    • Trained PPO policies in a custom Gym environment for trajectory control and designed long-duration underwater experiments for reinforcement learning.
  • 2021

    Shanghai, China

    Electronics Engineering Intern
    ABB

Research Interests

  • Embodied AI, Robot Learning, Reinforcement Learning, Dexterous Manipulation, Sim-to-Real Transfer, Vision-Language-Action Models, World Models

Education

  • 2024 - present

    Madison, WI

    Ph.D.
    University of Wisconsin-Madison
    Computer Sciences
  • 2022 - 2023

    Ann Arbor, MI

    M.Eng.
    University of Michigan-Ann Arbor
    Electrical and Computer Engineering
  • 2018 - 2022

    Dalian, China

    B.Eng.
    Dalian University of Technology
    Electrical Engineering

Technical Skills

Robot Learning: Reinforcement Learning, Sim-to-Real, Domain Randomization, Curriculum Learning, Dexterous Manipulation, VLM/VLA, World Model, TensorRT
Robotics & Simulation: MuJoCo/Mjlab, Isaac Sim/Isaac Lab, ROS/ROS 2, MoveIt, Franka Panda, Dexterous Hands, RGB-D Perception
Programming: Python, C/C++, PyTorch, TensorFlow, Docker, Linux, Git