Jiahe Xu (Jay)

I am the CTO of Pinocchio AI. Our mission is to create realistic robots that interact with people through lifelike, animal-inspired behaviors, seamlessly integrating into daily life to provide meaningful assistance. My research focuses on Object-Centric Manipulation, Bimanual Manipulation, Learning from Human Video, and 3D Robot Learning.

Previously, I was a System Engineer(Sensor, System & Software) at CMU. My work includes sensor calibration(Pinhole, Fisheye, Stereo, Thermal cameras, IMU, and Lidar), teleoperation(real2sim, real2real), real-time system (ROS1 and ROS2), 3D Scene reconstruction. Embeded Computer Platforms I worked with: Jetson Orin/Xavier, NUC, iOS(Iphone & VisionPro) Robot Platforms I worked with: Boston Dynamic Spot, Custom RC Car, Custom Quadrotors, Franka Panda, Mobile Aloha, UR5. Simulation Enviroments I used: PyBullet, Sapien, IsaacGym/IsaacLab, Mujoco, and Genesis

I plan to build intelligent systems that can be applied to any robot with a handful of demonstrations.

Recently, I have been doing Quant Trading and I have posted my records at the bottom of the page. Please contact me if you want to join the Quant Team.

Email: xjh4438318846@gmail.com

Google Scholar     LinkedIn     CV (Updated 05/21/2025)    

OC3D: Object-Centric 3D Diffusion Planner

Jiahe Xu*, Hellen Wang, Gang Tan
In Submission
Paper(coming soon)   |   Webpage

3D FlowMatch Actor: Unified 3D Policy for Singleand Dual-Arm Manipulation

Nikolaos Gkanatsios*, Jiahe Xu*, Matthew Bronars, Arsalan Mousavian, Tsung-Wei Ke, Katerina Fragkiadak
In Submission
Paper   |   Webpage

Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning

Guanqi He*, Xiaofeng Guo*, Luyi Tang, Yuanhang Zhang, Mohammadreza Mousaei, Jiahe Xu, Junyi Geng, Sebastian Scherer, Guanya Shi
Paper   |   Webpage

Flying Calligrapher: Contact-Aware Motion and Force Planning and Control for Aerial Manipulation

Xiaofeng Guo*, Guanqi He*, Jiahe Xu, Mohammadreza Mousaei, Junyi Geng, Sebastian Scherer, Guanya Shi
IEEE Robotics and Automation Letters (RA-L), to be presented at ICRA 2025.
Paper   |   Webpage

PyPose: A Library for Robot Learning with Physics-based Optimization

CVPR 2023
Paper   |   Webpage

Quant Trading Robot Results

Recently, I am doing Quant-Trading bot in crypto market and here are the results: