Design and Development Bionic Flexible Gripper with Embedded Self-Powered Triboelectric Tactile Sensor
Dauletiya D. Balapan A. Kakimov A. Yeshmukhametov A. Kalimuldina G.
2025Institute of Electrical and Electronics Engineers Inc.
Proceedings of the Annual International Conference on Control, Automation and Robotics, ICCAR
2025Issue 2025258 - 263 pp.
The robotic gripper, a pivotal device in robotics for accomplishing grasping tasks, has revolutionized industrial processes, elevating efficiency and productivity by ensuring secure and precise object handling. However, evolving technological demands have spurred the need for improved grasping capabilities, including precise grasping, force control, shape identification, and adaptability. To meet these challenges, recent developments in composite materials and tactile sensors have led to significant advancements in gripper technology over the past decades. Notably, the integration of an all-printed soft Triboelectric Nanogenerator (TENG) as a tactile sensor has emerged as a cutting-edge solution, offering unique capabilities to perceive physical object shapes and patterns through voltage modulation. In this research, we propose a new approach for the application of a self-powered TENG sensor embedded with a flexible gripper. Moreover, the classification of objects shapes was conducted by using machine learning.
Embedded sensor , Machine Learning , Object Recognition , Robotic Gripper , Smart gripper , Soft Robotics , Tactile Feedback , Tactile sensor , Triboelectric Nanogenerator (TENG) Sensor
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Nazarbayev University, Astana It University, Astana, Kazakhstan
School of Engineering and Digital Sciences, Nazarbayev University, Department of Robotics Engineering, Astana, Kazakhstan
Institite of Smart Systems and Artificial Intelligence, Astana, Kazakhstan
School of Engineering and Digital Sciences, Nazarbayev University, Department of Mechanical and Aerospace Engineering, Astana, Kazakhstan
Nazarbayev University
School of Engineering and Digital Sciences
Institite of Smart Systems and Artificial Intelligence
School of Engineering and Digital Sciences
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