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Grasp-based manipulation tasks are fundamental to robots interacting with their environments, yet gripper state ambiguity significantly reduces the robustness of imitation learning policies for these tasks. Data-driven solutions face the…

Robotics · Computer Science 2025-04-01 Yifei Yang , Lu Chen , Zherui Song , Yenan Chen , Wentao Sun , Zhongxiang Zhou , Rong Xiong , Yue Wang

Grasping target objects is a fundamental skill for robotic manipulation, but in cluttered environments with stacked or occluded objects, a single-step grasp is often insufficient. To address this, previous work has introduced pushing as an…

Robotics · Computer Science 2026-03-24 Lijingze Xiao , Jinhong Du , Yang Cong , Supeng Diao , Yu Ren

The development of robotic grippers is driven by the need to execute particular manual tasks or meet specific objectives in handling operations. Grippers with specific functions vary from being small, accurate and highly controllable such…

A robust grip is key to successful manipulation and joining of work pieces involved in any industrial assembly process. Stability of a grip depends on geometric and physical properties of the object as well as the gripper itself. Current…

Robotics · Computer Science 2023-02-08 Stefanie Wucherer , Robert McMurray , Kok Yew Ng , Florian Kerber

Recent years have seen soft robotic grippers gain increasing attention due to their ability to robustly grasp soft and fragile objects. However, a commonly available standardised evaluation protocol has not yet been developed to assess the…

Soft pneumatic gripping strategies are often based on pressurized actuation of structures made of soft elastomeric materials, which limits designs in terms of size, weight, achievable forces, and ease of fabrication. On the other hand,…

Soft Condensed Matter · Physics 2023-05-23 Ignacio Andrade-Silva , Joel Marthelot

Rotational displacement about the grasping point is a common grasp failure when an object is grasped at a location away from its center of gravity. Tactile sensors with soft surfaces, such as GelSight sensors, can detect the rotation…

Robotics · Computer Science 2021-08-03 Raj Kolamuri , Zilin Si , Yufan Zhang , Arpit Agarwal , Wenzhen Yuan

Able to grasp objects of any shape and size, universal grippers using variable stiffness phenomenon such as granular jamming have been developed for disaster robotics application. However, as their contact interface is mainly composed of…

Robotics · Computer Science 2019-12-05 Kenjiro Tadakuma , Toshiaki Fujimoto , Masahiro Watanabe , Tori Shimizu

Robotic grasping and manipulation in underwater environments present unique challenges for robotic hands traditionally used on land. These challenges stem from dynamic water conditions, a wide range of object properties from soft to stiff,…

Robotics · Computer Science 2025-03-24 Honghao Guo , Junda Huang , Ian Zhang , Boyuan Liang , Xin Ma , Yunhui Liu , Jianshu Zhou

The internal structure of the Fin-Ray fingers plays a significant role in their adaptability and grasping performance. However, modeling the grasp force and deformation behavior for design purposes is challenging. When the Fin-Ray finger…

Robotics · Computer Science 2026-02-17 Ali Ghanizadeh , Ali Ahmadi , Arash Bahrami

Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role of tactile feedback in precise…

Robotics · Computer Science 2025-11-13 Xinyue Zhu , Binghao Huang , Yunzhu Li

Grasp detection requires flexibility to handle objects of various shapes without relying on prior knowledge of the object, while also offering intuitive, user-guided control. This paper introduces GraspSAM, an innovative extension of the…

Robotics · Computer Science 2024-09-24 Sangjun Noh , Jongwon Kim , Dongwoo Nam , Seunghyeok Back , Raeyoung Kang , Kyoobin Lee

The automation of fruit harvesting has gained increasing significance in response to rising labor shortages. A sensorized gripper is a key component of this process, which must be compact enough for confined spaces, able to stably grasp…

Robotics · Computer Science 2026-02-24 Ruohan Zhang , Mohammad Amin Mirzaee , Wenzhen Yuan

As the basis for prehensile manipulation, it is vital to enable robots to grasp as robustly as humans. Our innate grasping system is prompt, accurate, flexible, and continuous across spatial and temporal domains. Few existing methods cover…

Robotics · Computer Science 2023-06-07 Hao-Shu Fang , Chenxi Wang , Hongjie Fang , Minghao Gou , Jirong Liu , Hengxu Yan , Wenhai Liu , Yichen Xie , Cewu Lu

Handling fragile objects remains a major challenge for robotic manipulation. Tactile sensing and soft robotics can improve delicate object handling, but typically involve high integration complexity or slow response times. We address these…

Robotics · Computer Science 2026-02-17 Siqi Shang , Mingyo Seo , Yuke Zhu , Lillian Chin

Dexterous manipulation, especially of small daily objects, continues to pose complex challenges in robotics. This paper introduces the DenseTact-Mini, an optical tactile sensor with a soft, rounded, smooth gel surface and compact design…

Robotics · Computer Science 2023-09-19 Won Kyung Do , Ankush Kundan Dhawan , Mathilda Kitzmann , Monroe Kennedy

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

Robotics · Computer Science 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Separating thin, flexible layers that must be individually grasped is a common but challenging manipulation primitive for most off-the-shelf grippers. A prominent example arises in clinical settings: the opening of sterile flat pouches for…

Robotics · Computer Science 2026-03-12 Sergi Foix , Jaume Oriol , Carme Torras , Júlia Borràs

To achieve a successful grasp, gripper attributes such as its geometry and kinematics play a role as important as the object geometry. The majority of previous work has focused on developing grasp methods that generalize over novel object…

Granular jamming has been identified as a fundamental mechanism for the operation of robotic grippers. In this work, we show, that soft particles like expanded polystyrene beads lead to significantly larger gripping forces in comparison to…

Soft Condensed Matter · Physics 2022-01-11 Holger Götz , Angel Santarossa , Achim Sack , Thorsten Pöschel , Patric Müller