TY - GEN
T1 - Design of an Iris-Inspired Tactile Gripper for Aerial Grasping
AU - Cao, Zhuang
AU - Jiang, Jiaqi
AU - Zhou, Zhengyang
AU - Li, Guilu
AU - Wang, Jianan
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - This paper presents an iris-inspired tactile gripper system for aerial grasping. Unlike previous grippers designed for aerial robots, the proposed gripper integrates compliant tactile sensors that provide both passive adaptability and active sensing capability. First, we design the mechanical structure of the gripper based on the radially symmetric contraction mechanism of the biological iris. It uses a single motor to actuate an embedded cable for the synchronized opening and closing of six fingers. Then, three of the rigid fingers are replaced with TacTip optical tactile sensors, which enable contact perception by tracking internal marker displacements and support feedback-driven grasp control. Finally, a multistage grasping strategy is developed that uses a finite-state machine to achieve a stable grasp. Experimental results show that the proposed system significantly improves the grasp success rate compared with a baseline gripper without tactile sensing. Preliminary integration with a quadrotor UAV platform is also demonstrated, highlighting the potential of the system for aerial manipulation tasks.
AB - This paper presents an iris-inspired tactile gripper system for aerial grasping. Unlike previous grippers designed for aerial robots, the proposed gripper integrates compliant tactile sensors that provide both passive adaptability and active sensing capability. First, we design the mechanical structure of the gripper based on the radially symmetric contraction mechanism of the biological iris. It uses a single motor to actuate an embedded cable for the synchronized opening and closing of six fingers. Then, three of the rigid fingers are replaced with TacTip optical tactile sensors, which enable contact perception by tracking internal marker displacements and support feedback-driven grasp control. Finally, a multistage grasping strategy is developed that uses a finite-state machine to achieve a stable grasp. Experimental results show that the proposed system significantly improves the grasp success rate compared with a baseline gripper without tactile sensing. Preliminary integration with a quadrotor UAV platform is also demonstrated, highlighting the potential of the system for aerial manipulation tasks.
UR - https://www.scopus.com/pages/publications/105047321445
U2 - 10.1109/ICCA69928.2026.11618232
DO - 10.1109/ICCA69928.2026.11618232
M3 - Conference contribution
AN - SCOPUS:105047321445
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 2070
EP - 2076
BT - 2026 IEEE 20th International Conference on Control and Automation, ICCA 2026
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Control and Automation, ICCA 2026
Y2 - 16 June 2026 through 19 June 2026
ER -