StretchSense

Summary

About

About StretchSense

StretchSense builds wearable hand-capture systems that record finger articulation together with the hand’s full six-degree-of-freedom position and orientation. Its Pro gloves use stretchable sensing and onboard tracking to capture natural manipulation without requiring optical markers on every finger. The associated software converts the measurements into structured hand poses and motion data that can be streamed into animation, simulation, teleoperation or machine-learning pipelines.

For robotics teams, the workflow begins with a person demonstrating grasps and tasks while wearing the gloves. The captured trajectories can be collected at scale, converted into datasets for imitation learning or foundation-model training, and used as a reference when validating the robot’s learned behaviour. StretchSense also supports motion-capture and XR integrations, including Vicon, Xsens MVN and Qualisys, alongside APIs for custom systems. This gives the company a role upstream of dexterous robots by supplying the human demonstration data used to train and evaluate manipulation policies.

PRICE
Range 1Y
Return
High
Low
Updated

Funding

Team

  • Chris Chapman - Chief Executive Officer
  • Ben O'Brien - Co-founder & Director
  • Iain Anderson - Co-founder & Director - He co-founded StretchSense from the Biomimetics Lab research programme that produced its wearable stretch-sensing technology.
  • Todd Gisby - Co-founder & Chief Systems Architect - As co-founder and chief systems architect, he applies that sensor and mechatronics background to StretchSense's motion-intelligence platform for robotics and immersive systems.

Timeline

Events

Context

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Context tags

  • Teleoperation and data collection - Workflow - Teleoperation or human-demonstration data capture for robot-learning workflows.
  • Embodied data capture - Stack Layer - Hardware or workflows for collecting embodied-AI training data.
  • Robot learning data collection - Workflow - Data-collection infrastructure for robot learning and imitation-learning workflows.
  • Motion capture systems - Capability - Optical and wearable motion-capture systems used for robotics data capture and validation.