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Computational design can excite the full potential of soft robotics that has the drawbacks of being highly nonlinear from material, structure, and contact. Up to date, enthusiastic research interests have been demonstrated for individual…

Robotics · Computer Science 2023-11-22 Yue Xie , Xing Wang , Fumiya Iida , David Howard

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, particularly selective…

Robotics · Computer Science 2025-10-14 Shahid Ansari , Vivek Gupta , Bishakh Bhattacharya

Rapid and reliable robot bin picking is a critical challenge in automating warehouses, often measured in picks-per-hour (PPH). We explore increasing PPH using faster motions based on optimizing over a set of candidate grasps. The source of…

Robotics · Computer Science 2020-03-06 Jeffrey Ichnowski , Michael Danielczuk , Jingyi Xu , Vishal Satish , Ken Goldberg

Robotic grasping requires safe force interaction to prevent a grasped object from being damaged or slipping out of the hand. In this vein, this paper proposes an integrated framework for grasping with formal safety guarantees based on…

Robotics · Computer Science 2025-11-20 Yitaek Kim , Jeeseop Kim , Albert H. Li , Aaron D. Ames , Christoffer Sloth

Soft tissue manipulation is an integral aspect of most surgical procedures; however, the vast majority of surgical graspers used today are made of hard materials, such as metals or hard plastics. Furthermore, these graspers predominately…

Robotics · Computer Science 2025-01-15 Roman Mykhailyshyn , Ann Majewicz Fey

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks which require the robot to interact with an unstructured and/or unknown…

Robotics · Computer Science 2023-08-22 Jay Best

Microspine grippers are small spines commonly found on insect legs that reinforce surface interaction by engaging with asperities to increase shear force and traction. An array of such microspines, when integrated into the limbs or…

Robotics · Computer Science 2025-05-01 Lauren Ervin , Harish Bezawada , Vishesh Vikas

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…

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

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick…

Robotics · Computer Science 2021-09-24 Pietro Griffa , Carmelo Sferrazza , Raffaello D'Andrea

Robotics hand/grippers nowadays are not limited to manufacturing lines; instead, they are widely utilized in cluttered environments, such as restaurants, farms, and warehouses. In such scenarios, they need to deal with high uncertainty of…

Robotics · Computer Science 2024-02-15 Son Tien Bui , Shinya Kawano , Van Anh Ho

Granular grippers can manipulate a wide variety of objects, but need to be pressed on the object to conform to it. If the object is placed on unstable ground, e.g., on sand or water, this step might cause the object to sink or move away…

Soft Condensed Matter · Physics 2024-04-25 Angel Santarossa , Olfa D'Angelo , Achim Sack , Thorsten Pöschel

We propose a versatile robotic system for kitting and assembly tasks which uses no jigs or commercial tool changers. Instead of specialized end effectors, it uses its two-finger grippers to grasp and hold tools to perform subtasks such as…

Grip surfaces with tunable friction can actively modify contact conditions, enabling transitions between higher- and lower-friction states for grasp adjustment. Friction can be increased to grip securely and then decreased to gently release…

Robotics · Computer Science 2025-06-24 Katherine Allison , Jonathan Kelly , Benjamin Hatton

This paper introduces the TacFR-Gripper, a reconfigurable Fin Ray-based soft and compliant robotic gripper equipped with tactile skin, which can be used for dexterous in-hand manipulation tasks. This gripper can adaptively grasp objects of…

Robotics · Computer Science 2023-11-20 Qingzheng Cong , Wen Fan , Dandan Zhang

Many approaches to grasp synthesis optimize analytic quality metrics that measure grasp robustness based on finger placements and local surface geometry. However, generating feasible dexterous grasps by optimizing these metrics is slow,…

Robotics · Computer Science 2023-07-25 Albert H. Li , Preston Culbertson , Joel W. Burdick , Aaron D. Ames

In this paper we explore state-of-the-art underactuated, compliant robot gripper designs through looking at their performance on a generic grasping task. Starting from a state of the art open gripper design, we propose design…

Robotics · Computer Science 2016-01-19 Eduardo Ruiz , Walterio Mayol-Cuevas

The seafood processing industry provides fertile ground for robotics to impact the future-of-work from multiple perspectives including productivity, worker safety, and quality of work life. The robotics research challenge is the realization…

Robotics · Computer Science 2023-11-07 Austin Allison , Nathaniel Hanson , Sebastian Wicke , Taşkın Padır

Adaptation to various scene configurations and object properties, stability and dexterity in robotic grasping manipulation is far from explored. This work presents an origami-based shape morphing fingertip design to actively tackle the…

Robotics · Computer Science 2020-10-13 Zicheng Kan , Yazhan Zhang , Chohei Pang , Michael Yu Wang

Reaching-and-grasping is a fundamental skill for robotic manipulation, but existing methods usually train models on a specific gripper and cannot be reused on another gripper. In this paper, we propose a novel method that can learn a…

Robotics · Computer Science 2025-02-04 Qijin She , Shishun Zhang , Yunfan Ye , Ruizhen Hu , Kai Xu