Publication | Open Access
A soft thumb-sized vision-based sensor with accurate all-round force perception
222
Citations
44
References
2022
Year
Haptic FeedbackEngineeringDexterous ManipulationMechanical EngineeringHaptic TechnologyObject ManipulationBiomedical EngineeringTactile SensingKinesiologySoft RoboticsSpatial DistributionKinematicsDeformation ModelingHealth SciencesMechanical DesignRobotic TechnologyRobotic SensingMechatronicsRobot DexterityDeep Neural NetworkContact AreaMechanical SystemsRobotic ManipulationRoboticsSoft Sensor
Abstract Vision-based haptic sensors have emerged as a promising approach to robotic touch due to affordable high-resolution cameras and successful computer vision techniques; however, their physical design and the information they provide do not yet meet the requirements of real applications. We present a robust, soft, low-cost, vision-based, thumb-sized three-dimensional haptic sensor named Insight, which continually provides a directional force-distribution map over its entire conical sensing surface. Constructed around an internal monocular camera, the sensor has only a single layer of elastomer over-moulded on a stiff frame to guarantee sensitivity, robustness and soft contact. Furthermore, Insight uniquely combines photometric stereo and structured light using a collimator to detect the three-dimensional deformation of its easily replaceable flexible outer shell. The force information is inferred by a deep neural network that maps images to the spatial distribution of three-dimensional contact force (normal and shear). Insight has an overall spatial resolution of 0.4 mm, a force magnitude accuracy of around 0.03 N and a force direction accuracy of around five degrees over a range of 0.03–2 N for numerous distinct contacts with varying contact area. The presented hardware and software design concepts can be transferred to a wide variety of robot parts.
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