Jiahe Xu (Jay)
I am the CTO of Pinocchio AI, where we build realistic robots that interact with people through lifelike, animal-inspired behaviors and fit naturally into daily life.
My research focuses on object-centric manipulation, bimanual manipulation, learning from human video, and 3D robot learning.
Previously, I was a systems engineer for sensors, systems, and software at CMU. I worked on sensor calibration for pinhole, fisheye, stereo, thermal cameras, IMU, and LiDAR; teleoperation for real-to-sim and real-to-real systems; real-time robotics systems with ROS1 and ROS2; and 3D scene reconstruction. I have worked with Jetson Orin/Xavier, NUC, iOS, iPhone, and Vision Pro platforms; Boston Dynamics Spot, custom RC cars, custom quadrotors, Franka Panda, Mobile Aloha, and UR5 robots; and simulation environments including PyBullet, SAPIEN, Isaac Gym/Isaac Lab, MuJoCo, and Genesis.
My goal is to build intelligent systems that can adapt to almost any robot from only a handful of demonstrations.
Recently, I have also been working on quant trading. I posted my records at the bottom of the page. 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)
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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
IEEE Robotics and Automation Letters (RA-L), to be presented at ICRA 2025.
Paper
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Webpage
Quant Trading Robot Results
I have been running a quant trading bot in the crypto market. Here are the results:


