Full Name
AutoLife Robotics
About
SmartMove Future was established at the end of 2023, dedicated to creating cost-effective, multifunctional intelligent humanoid robots for multiple application scenarios, and building a full-chain operation system integrating design, R&D, production, sales, and service. The core team consists of a National University of Singapore Ph.D., an associate professor from Shanghai Jiao Tong University, and over 40 engineers/Ph.D. students, with experience in mass production and cost control, and has gained recognition from multiple investment institutions. Dr. Lu Qi, former COO of Baidu, and his venture platform Miracle Plus, have provided us with angel-round investment. Additionally, we secured a funding round from factory supply chain investors in Shenzhen. **Our Advantages** Driving large‑scale S2 deployment with leading technology and mass‑production capabilities. **01** Leading low‑latency 3D transmission – latency as low as 1/10 of conventional video, supporting up to 2K 60Hz. **02** Imitation learning + physics engine – multiple top‑tier AI conference papers, internationally cutting‑edge technology. **03** Universal grasping generalization model – 99% success rate for object grasping and placing. **04** Mass production & cost control – 50,000 m² production base and a team with mass‑production experience ensuring delivery. **05** World‑class R&D team – led by a NUS Ph.D. and a Shanghai Jiao Tong University professor, with over 40 engineers/Ph.D. students. **06** Recognized by multiple institutions – backed by Qichuang Chuangtan and others, oversubscribed Pre‑A round. **AutoLife S1** Our first flagship product, a semi-humanoid intelligent robot capable of operating in a variety of indoor scenarios. **Core Technologies** Our core technology is world-leading artificial intelligence, validated in the laboratories of the National University of Singapore and published at top AI conferences. - Top‑tier “Brain + Cerebellum” robot control solution - Reinforcement learning algorithms based on complex observation environments - Imitation learning algorithms for full‑humanoid robot motion - World model for ultra‑strong flexible object simulation - Generalizable model for robotic manipulation
Technical Overview
Contact Information
Robot Products
Funding History
| Round | Amount | Valuation | Date | Investors | Source |
|---|---|---|---|---|---|
| Pre-A | Undisclosed | - | - | MiraclePlus and undisclosed investors | Source |
Development Timeline
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