Global Robot Tactile Sensor Market 2023-2030

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    For use with robots, tactile sensors have been developed. When the robot starts to grasp an object, tactile sensors can supplement visual systems by adding further information. Eyesight is no longer sufficient at this point because vision alone cannot determine the mechanical characteristics of the object. 


    Infographic: Robot Tactile Sensor Market, Robot Tactile Sensor Market Size, Robot Tactile Sensor Market Trends, Robot Tactile Sensor Market Forecast, Robot Tactile Sensor Market Risks, Robot Tactile Sensor Market Report, Robot Tactile Sensor Market Share

    Tactile sensors are manufactured with light (optical), electricity, or magnetism and are responsive to touch, force, or pressure. The stimulus-to-response pathways used by electronic touch sensors to operate are analogous to the human body’s process of skin, nervous system signal transmission, and brain.




    S.NO Overview of Development Development Detailing  Region of Development  Possible Future Outcome 
    2. A groundbreaking bimanual robot exhibits tactile sensitivity near to human-level dexterity by making use of AI to inform its actions. By detecting what can be done by a digital assistant, the novel Bi-Touch technology, created by researchers at the University of Bristol and housed at the Bristol Robotics Laboratory, enables robots to carry out manual activities. England  This would enhance better innovations


    Accurate sensing, gentle interaction, and effective object manipulation are made possible for robotic activities by an AI agent that interprets the robot’s environment through tactile and proprioceptive feedback.


    This innovation may completely transform sectors like domestic help and fruit picking while finally bringing touch back to prosthetic limbs.




    The global robot tactile sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.




    The GelSight Mini tactile sensor has been announced. A 3D sensor powered by artificial intelligence (AI) that can give robots a feeling of touch has been released by GelSight.


    The sensor is robust enough to be used in robots and cobots, yet small enough to be comfortable in human hands. The sensor can deliver shareable data right out of the box in only five minutes.


    GelSight set out to create a sensor that would provide roboticists the most versatility of any one available on the market. Roboticists now have access to digital 2D and 3D mapping thanks to the company’s sensor, which has a spatial resolution that is greater than that of the human hand.


    This provides scientists with enhanced views of material surfaces that are applicable across a variety of businesses. The data collected by GelSight’s elastomeric tactile sensing platform, which makes use of the Robot Operating System (ROS), PyTouch, and Python, is used by the GelSight Mini.


    As a result, users can produce precise surface characterizations that are fully compatible with their existing, well-known software environments.


    The business offers ROS compatibility, frame grabbers, and Python scripts so users can start working on novel AI and computer vision tasks right immediately, such making digital twins of the objects that will be picked up by the sensor.


    A variety of applications for GelSight Mini exist, ranging from the construction of bionic hands to two-finger grippers in the industrial style. Compactness of the sensor and integration adaptor 3D CAD files from GelSight make it simple to integrate into an existing system.




    Tactile sensors are redefining the telecommunications and internet services sectors, opening up new avenues and changing the way we interact with the digital world. These advanced sensors, which can recognize and react to physical contact or pressure, are enabling a variety of cutting-edge uses that were previously unthinkable.


    Through the creation of more interactive and intuitive user interfaces, the integration of tactile sensors into communications devices improves the user experience.


    For instance, tactile sensors in smartphones and tablets can measure the amount of pressure being applied to their screens, enabling users to manage features like zooming in and out or modifying volume levels by only varying their touch pressure.


    This not only improves the usability of these gadgets but also provides new opportunities for app developers to design immersive and compelling user experiences.


    Tactile sensors are crucial to the development of haptic technology, which simulates the sense of touch by applying forces, vibrations, or motions to the user, in the context of online services.


    This technology is very useful in applications for virtual and augmented reality since it may provide users a more lifelike and immersive experience. A user who is wearing a haptic glove with tactile sensors, for instance, can feel the texture and contour of virtual objects, giving the virtual world a new depth.




    S.NO Overview  Details 
    1. GelSight and Meta AI collaborate to Democratize Digital Tactile Sensing To commercially produce the DIGIT tactile sensor and further the study of tactile sensing, GelSight, a leader in tactile imaging and sensing technologies, has partnered with Meta AI.
    2. Researchers create a cheap sensor to improve robots’ tactile perception. An L3 F-TOUCH sensor has been created by Queen Mary University of London researchers in collaboration with researchers from China and the United States to improve the tactile capabilities of robots and enable them to “feel” items and alter their grip accordingly.


    DIGIT is a trustworthy, affordable, small, high-resolution tactile sensor created and open-sourced by Meta (formerly Facebook) AI researchers to help AI and robotics researchers work with touch. It is intended for robotic in-hand manipulation. DIGIT will be produced and offered for sale by GelSight as part of the company’s selection of digital tactile sensors, increasing the research community’s access to this sensor on a global scale.


    Digitizing touch will open up new robotics applications as well as commercial ones that need to comprehend surface and texture. Robotic inspection is used for a variety of purposes, including as quality control, material identification, manufacturing and assembly process efficiency, and much more.


    The force detection capabilities of conventional tactile sensors are improved by the L3 F-TOUCH sensor. The sensor is wireless, lightweight, and inexpensive, making it a viable alternative for modifying current robot graspers and hands.This would enhance better innovations



    1. How many Robot Tactile Sensors are manufactured per annum globally? Who are the sub-component suppliers in different regions?
    2. Cost breakup of a Global Robot Tactile Sensor and key vendor selection criteria
    3. Where is the Robot Tactile Sensor manufactured? What is the average margin per unit?
    4. Market share of Global Robot Tactile Sensor market manufacturers and their upcoming products
    5. Cost advantage for OEMs who manufacture Global Robot Tactile Sensor in-house
    6. key predictions for next 5 years in Global Robot Tactile Sensor market
    7. Average B-2-B Robot Tactile Sensor market price in all segments
    8. Latest trends in Robot Tactile Sensor market, by every market segment
    9. The market size (both volume and value) of the Robot Tactile Sensor market in 2022-2030 and every year in between?
    10. Production breakup of Robot Tactile Sensor market, by suppliers and their OEM relationship
    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2023-2030
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030
    19 Market Segmentation, Dynamics and Forecast by Application, 2023-2030
    20 Market Segmentation, Dynamics and Forecast by End use, 2023-2030
    21 Product installation rate by OEM, 2023
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2023
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix
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