Mingsong Jiang (蒋明松)

mingsongj.github.io

I am an enthusiastic roboticist focusing on future reconfigurable and multi-functional robots built from smart materials, hybrid compositions, and novel manufacturing. For future robots to replace human labor in boring, repetitive, and dangerous jobs, they must also be safe, collaborative, and adaptive in every human-involved setting. I am now carrying that research forward into industry, building consumer-grade companion robots at Moreside Robotics, a company I founded in 2026.

I believe robots embody intelligence in both physical and algorithmic domains. As a hands-on roboticist, I seek to exploit engineering benefits from both rigid and soft materials and structures, and to combine them into robots with reconfigurable states and multi-modal functionalities. Specifically, my work spans 1) reconfigurable hard-and-soft robot designs and mechanisms; 2) safe human–robot interfaces and soft functional robotic devices; and 3) smart robot manufacturing and biomimetic robotic features.

Current Position

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

Founded the company from 0→1 in consumer-grade robotics; building an open-source “Baymax”-inspired soft-rigid family companion robot for households with elderly and children, currently in early concept validation. 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)