paper-with-me

홈 › Papers

Soft Rigid Hybrid Gripper with Inflatable Silicone Pockets for Tunable Frictional Grasping

2026-03-07 · Hoang Hiep Ly, Cong-Nhat Nguyen, Doan-Quang Tran, Quoc-Khanh Dang, Ngoc Duy Tran, Thi Thoa Mac, Anh Nguyen, Xuan-Thuan Nguyen, Tung D. Ta arxiv

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional rigid grippers typically rely on increasing the normal forces to secure an object, however, this can cause damage to fragile objects due to excessive force. To address this limitation, we propose a soft rigid hybrid gripper finger that combines rigid structural shells with soft, inflatable silicone pockets, which could be integrated into a conventional gripper. The hybrid gripper can actively modulate its surface friction by varying the internal air pressure of the silicone pockets, enabling the gripper to securely grasp objects without increasing the gripping force. This is demonstrated by fundamental experimental results, in which an increase in internal pressure leads to a proportional increase in the effective coefficient of friction. The gripping experiments also show that the integrated gripper can stably lift heavy and slippery objects or fragile, deformable objects, such as eggs, tofu, fruits, and paper cups, with minimal damage by increasing friction rather than applying high force.

📄 PDF Abstract BibTeX arXiv:2603.07308

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Hybrid Gripper Finger Enabling In-Grasp Friction Modulation Using Inflatable Silicone Pockets

2025-10-31 · Hoang Hiep Ly, Cong-Nhat Nguyen, Doan-Quang Tran, Quoc-Khanh Dang 외 arxiv

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional grippers often rely on applying high normal forces, which can caus…

Hybrid Rigid-Soft Robotic Gripper with Shape Adaptation, Uniform Force Distribution, and Self-Locking Capabilities

2026-07-16 · Xi Chen, Yun Wang, Lichao Yang, Haitao Li 외 arxiv

Conventional robotic grippers face a significant challenge in agricultural automation: the trade-off between compliant, adaptive grasping, pressure balancing among all joints, and high load capacity, often at the cost of…

Rigid-Soft Interactive Learning for Robust Grasping

2020-02-29 · Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu 외

Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning, aiming at reducing the time of data collection. In this paper, we classify the interaction categories into Rigid-R…

Small Data Image Classification

Hybrid Robotic Meta-gripper for Tomato Harvesting: Analysis of Auxetic Structures with Lattice Orientation Variations

2025-10-11 · Shahid Ansari, Vivek Gupta, Bishakh Bhattacharya arxiv

The agricultural sector is rapidly evolving to meet growing global food demands, yet tasks like fruit and vegetable handling remain labor-intensive, causing inefficiencies and post-harvest losses. Automation, particularl…

Grasp Synthesis Matching From Rigid To Soft Robot Grippers Using Conditional Flow Matching

2026-02-19 · Tanisha Parulekar, Ge Shi, Josh Pinskier, David Howard 외 arxiv

A representation gap exists between grasp synthesis for rigid and soft grippers. Anygrasp [1] and many other grasp synthesis methods are designed for rigid parallel grippers, and adapting them to soft grippers often fail…