Liqing Intelligence

Summary

About

About Liqing Intelligence

Liqing Intelligence develops data-collection equipment and software infrastructure for robot learning. Its T1 glove range captures hand motion for teleoperation and imitation learning, with the Pro configuration adding palm pressure and contact sensing. EgoDepth combines surrounding RGB cameras with depth, inertial and audio recording for close-range manipulation tasks. Together, these devices capture demonstrations that connect human movement with a task's visual and physical context.

The company is developing a shared intelligence layer for robot arms, dexterous hands and humanoids. Its workflow links captured data, model training, physical simulation and deployment feedback, with open interfaces intended to support different hardware manufacturers. Its PWM differentiable physics engine supports simulation and reinforcement learning after initial alignment with real-machine data. Manufacturing, logistics, healthcare and services are intended application areas; cross-robot transfer remains a development objective rather than a guarantee for every machine.

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Articles

Supply

Supply chain relationships

  • Orbbec

    Inbound - Sensing - Orbbec will supply depth-camera capture equipment for Liqing Intelligence's world-model training

    Source

Funding

Investors

  • Century Golden Resources - Participant - Unknown - 2 funding events - repeat backer - first seen 2026-06-30 - latest 2026-10-08
  • Frees Fund - Participant - VC - 2 funding events - repeat backer - first seen 2026-06-30 - latest 2026-10-08
  • Shunwei Capital - Participant - VC - 2 funding events - repeat backer - first seen 2026-06-30 - latest 2026-10-08
  • 水木清华校友种子基金 - Participant - Unknown - 2 funding events - repeat backer - first seen 2026-06-30 - latest 2026-10-08
  • Agibot - Participant - Corporate / CVC - 1 funding event - strategic/corporate - first seen 2026-06-30
  • Ant Group - Lead - Corporate / CVC - 1 funding event - strategic/corporate - first seen 2026-10-08
  • CMC Capital - Participant - VC - 1 funding event - first seen 2026-10-08
  • Hillhouse Ventures - Participant - VC - 1 funding event - first seen 2026-06-30
  • HongShan - Participant - Unknown - 1 funding event - first seen 2026-06-30
  • Lingxin Hands - Participant - Corporate / CVC - 1 funding event - strategic/corporate - first seen 2026-06-30
  • SEE Fund - Participant - VC - 1 funding event - first seen 2026-06-30
  • 上海人工智能产业系列基金 - Participant - Unknown - 1 funding event - first seen 2026-10-08
  • 星连资本 - Participant - Unknown - 1 funding event - first seen 2026-06-30

Team

  • Yiming Li / 李一鸣 - Founder - Works on physical-world models that learn from real-world sensor data and transfer across robot platforms.
  • Yi Li / 李毅 - Chief Operating Officer - Works on the company's approach to linking real-task data, physical simulation, model training and adaptation across robot hardware, including its PWM differentiable physics…
  • Haozhe Lou / 娄浩哲 - Co-founder (August 2026)
  • Wei Qin / 秦伟 - Chief Marketing Officer (August 2026)

Resources

Media library

Timeline

Events

Context

Comparable profiles

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  • Ropedia

    stack adjacency - Embodied Data Capture

  • Vision Lab

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  • MANUS

    stack adjacency - Embodied Data Capture

  • Rokoko

    stack adjacency - Embodied Data Capture

  • Noitom

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  • Maniformer

    stack adjacency - Embodied Data Capture

  • Noitom Robotics

    stack adjacency - Embodied Data Capture

  • Jiiov / 极豪科技

    stack adjacency - Embodied Data Capture

Shared workflows

  • Avea Robotics

    workflow adjacency - Teleoperation Data Collection

  • MOTOMIND

    workflow adjacency - Teleoperation Data Collection

  • FORMOVE GmbH

    workflow adjacency - Teleoperation Data Collection

Context tags

  • Teleoperation and data collection - Workflow - https://litchibot.com/ — T1 capture gloves support robot teleoperation and human-demonstration collection for imitation learning.
  • Embodied data capture - Stack Layer - https://litchibot.com/ — T1 and EgoDepth capture motion, tactile and egocentric demonstration data; exact supplied layer is capture infrastructure.
  • Physics AI simulation - Capability - https://thinktank.cnfin.com/szjj-lb/detail/20260924/4474905_1.html — COO describes the self-developed PWM differentiable physics engine for simulation and reinforcement-learning…