Mingsong Jiang (蒋明松)

mingsongj.github.io

My work began in soft robotics and human–robot interaction, exploring how materials, structures, and algorithms can make robots more adaptive and responsive to human needs. This experience shaped my view of intelligence: what matters is not only what a system can do, but how safely, naturally, and meaningfully it works with people.

That perspective now guides my work on the next generation of AI companions—systems that understand people’s needs and routines, offer companionship, and quietly help manage everyday life. At Mosai Robotics, which I founded in 2026, I am developing AI companion agents and an app for older adults, bringing my experience in human-centered robotics toward a broader goal: making AI a more personal, attentive, and helpful presence in people’s lives.

Current Position

Founder & CEO, Mosai Robotics (Shenzhen) · 2026.2 – present

Building AI companion agents and an app for older adults—offering companionship, understanding their needs and routines, and quietly helping manage everyday life.
Open to early technical co-founders and angel investors.

Previous Positions

Innovation Lab Director (UV product line lead), Creality · 2025.4 – 2026.1

Built a 13-person cross-disciplinary lab from scratch and delivered two generations of desktop UV-printer prototypes, with self-developed low-viscosity stackable UV ink enabling 2.5D/3D relief printing and an AIGC + 3D-slicing fabrication pipeline.

Postdoctoral Associate, Yale University · 2023.4 – 2025.4

With Rebecca Kramer-Bottiglio at the Yale Faboratory. Co-first author on LUART, an amphibious turtle robot with morphing limbs whose sim-trained PPO policies transfer to hardware and outdoor terrain. See the project page.

Robotics Systems Design Specialist, XPeng Robotics · 2022.3 – 2022.6

System architecture, Mujoco-based locomotion simulation, and product definition for the PX3 four-legged rideable robot.

Education

Ph.D., Mechanical Engineering, UC San Diego · 2018 – 2021

Thesis: Towards Reconfigurable and Adaptive Soft Robots via Hybrid Materials, Designs and Mechanisms. Advisor: Nicholas Gravish (Gravish Lab).

M.S., Mechanical Engineering, UC San Diego · 2016 – 2018

Thesis: Sliding-layer laminates: a new robotic material enabling robust and adaptable undulatory locomotion. Advisor: Nicholas Gravish.

B.S., Mechanical Engineering, Xi’an Jiaotong University · 2012 – 2016

Thesis: Design and fabrication of a 3D printed rehabilitative and wearable hand exoskeleton. Advisor: Jing Wang.

Recognition & Service

2025 National QM Talent Program awardee (Shenzhen Longhua recommendation), 2026.01
Shenzhen Longhua District Class-C High-Level Talent
Adjunct Advisor, School of Advanced Manufacturing, Sun Yat-sen University
Best Paper Nominee, IEEE RoboSoft 2021
Lead Teaching Assistant, MAE 207 Bio-inspired Mobile Robotics, UC San Diego (2018–2020)