Application Scenarios

Dexterous Hands: Integrate multimodal tactile perception to achieve high-precision grasping and adaptive manipulation, enabling detailed perception of object surface pressure, morphology, and texture.
Humanoid Robots: Combine tactile perception with vision to construct spatial cognition models, enhancing natural interaction and emotional experience.
Service Robots: Monitor contact forces and motion trajectories in real-time, optimizing task paths to improve efficiency and reliability in complex environments.

Real-World Data Acquisition: Provide a complete set of acquisition hardware and supporting SDKs, enabling the construction of a full data acquisition pipeline to efficiently capture high-quality tactile data. Simulated Data Acquisition: Equipped with a high-precision simulation platform, generate large-scale tactile datasets at low cost, complement real-time interactions on edge device, and enhance the accuracy of tactile simulations and the quality of trained models.

Precision Assembly: Utilize high-resolution force field reconstruction technology for sub-millimeter closed-loop control, reducing assembly loss and errors.
Quality Inspection: Employ multimodal tactile detection to quantitatively analyze surface morphology and dimensional tolerances, establishing digital quality assessment models to increase yield rates.

Surgical Robots: Provide multi-modal tactile feedback to measure tissue properties, enabling sub-millimeter operational precision to enhance surgical safety. Rehabilitation Robots: Combine dynamic tactile sensing with biomechanical analysis to optimize personalized rehabilitation plans and improve therapeutic.

Flexible Sorting, Loading & Unloading: Real-time material recognition and weight sensing allow dynamic pose and grasp adjustment, enabling damage-free handling and boosting overall smart automation.

Enables intelligent products to support multimodal inputs, delivering diverse interactive feedback and significantly enhancing the quality of user interaction.