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@article{178503,
        author = {Janhvi Nagekar and Anika Agrawal and Samrudhee Kurhe and Prof. Minakshee Patil},
        title = {Design And Implementation Of Haptic Hand For Lifting Objects},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3444-3451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178503},
        abstract = {The design and implementation of a haptic hand for lifting objects aim to enhance robotic manipulation by integrating force feedback and tactile sensing. This system mimics the human hand's dexterity, using advanced actuators, pressure sensors, and a real-time control mechanism to improve grasping accuracy and object handling. The haptic feedback allows precise control, enabling the robotic hand to adjust grip strength dynamically based on the object's weight and texture. The proposed design is particularly useful in assistive robotics, industrial automation, and prosthetics. Experimental validation demonstrates the effectiveness of the haptic hand in lifting objects of varying sizes and materials, ensuring stability and safety.
This project presents the design and implementation of a haptic hand controlled by an ESP32 microcontroller, capable of lifting objects weighing up to 150 grams. The system integrates force sensors, servo actuators, and a haptic feedback mechanism to replicate human-like grasping and lifting capabilities. The hand model is designed using lightweight materials and optimized finger actuation to ensure efficient force distribution while handling objects. The ESP32 is programmed to process sensor data and dynamically adjust grip strength based on the object's weight and texture. Real-time feedback enhances the precision and stability of object manipulation. The proposed system is useful for assistive applications, robotic prosthetics, and industrial automation where lightweight object handling is required. Experimental validation confirms the system's effectiveness in secure object gripping and controlled lifting operations.},
        keywords = {Haptic hand, robotic manipulation, force feedback, tactile sensing, prosthetics, object lifting, real-time control, assistive robotics, automation, sensor-based grip adjustment.},
        month = {May},
        }