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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

Recently, there has been a growing interest in rescue robots due to their vital role in addressing emergency scenarios and providing crucial support in challenging or hazardous situations where human intervention is difficult. However, very…

Robotics · Computer Science 2025-05-19 Qianwen Zhao , Rajarshi Roy , Chad Spurlock , Kevin Lister , Long Wang

What if a robot could rethink its own morphological representation to better meet the demands of diverse tasks? Most robotic systems today treat their physical form as a fixed constraint rather than an adaptive resource, forcing the same…

Robotics · Computer Science 2026-05-05 Nataliya Nechyporenko , Yutong Zhang , Sean Campbell , Alessandro Roncone

Feature-mapping methods for topology optimization (FMTO) facilitate direct geometry extraction by leveraging high-level geometric descriptions of the designs. However, FMTO often relies solely on Boolean unions, which can restrict the…

Computational Engineering, Finance, and Science · Computer Science 2024-09-05 Rahul Kumar Padhy , Pramod Thombre , Krishnan Suresh , Aaditya Chandrasekhar

Soft robotic systems present a variety of new opportunities for solving complex problems. The use of soft robotic grippers, for example, can simplify the complexity in tasks such as the of grasping irregular and delicate objects. Adoption…

Robotics · Computer Science 2017-02-03 Ross M. McKenzie , Thomas W. Barraclough , Adam A. Stokes

Rigid grippers used in existing aerial manipulators require precise positioning to achieve successful grasps and transmit large contact forces that may destabilize the drone. This limits the speed during grasping and prevents "dynamic…

Robotics · Computer Science 2021-10-04 Joshua Fishman , Samuel Ubellacker , Nathan Hughes , Luca Carlone

Applying suction grippers in unstructured environments is a challenging task because of depth and tilt errors in vision systems, requiring additional costs in elaborate sensing and control. To reduce additional costs, suction grippers with…

Robotics · Computer Science 2022-11-30 Yuna Yoo , Jaemin Eom , Min Jo Park , Kyu-Jin Cho

Biological systems, such as the octopus, exhibit masterful cross-scale manipulation by adaptively reconfiguring their entire form, a capability that remains elusive in robotics. Conventional soft grippers, while compliant, are mostly…

Robotics · Computer Science 2025-11-03 Dong Heon Han , Xiaohao Xu , Yuxi Chen , Yusheng Zhou , Xinqi Zhang , Jiaqi Wang , Daniel Bruder , Xiaonan Huang

The paper presents a topology optimization approach that designs an optimal structure, called a self-supporting structure, which is ready to be fabricated via additive manufacturing without the usage of additional support structures. Such…

Computational Engineering, Finance, and Science · Computer Science 2017-08-25 Dengyang Zhao , Ming Li , Yusheng Liu

Object reorientation is a critical task for robotic grippers, especially when manipulating objects within constrained environments. The task poses significant challenges for motion planning due to the high-dimensional output actions with…

Robotics · Computer Science 2025-03-17 Qiyin Huang , Tiemin Li , Yao Jiang

Grasping has long been considered an important and practical task in robotic manipulation. Yet achieving robust and efficient grasps of diverse objects is challenging, since it involves gripper design, perception, control and learning, etc.…

Robotics · Computer Science 2023-04-06 Fukang Liu , Fuchun Sun , Bin Fang , Xiang Li , Songyu Sun , Huaping Liu

Contact-aware topology optimization faces challenges in robustness, accuracy, and applicability to internal structural surfaces under self-contact. This work builds on the recently proposed barrier-based Incremental Potential Contact (IPC)…

Optimization and Control · Mathematics 2022-08-26 Zeshun Zong , Xuan Li , Jianping Ye , Sian Wen , Yin Yang , Danny M. Kaufman , Minchen Li , Chenfanfu Jiang

Research in soft manipulators has significantly enhanced object grasping capabilities, thanks to their adaptability to various shapes and sizes. Applying this technology to on-orbit servicing, especially during the capture and containment…

Systems and Control · Electrical Eng. & Systems 2024-03-26 Fernando Ruiz , Begona Arrue , Anibal Ollero

Compliant grippers enable robots to work with humans in unstructured environments. In general, these grippers can improve with tactile sensing to estimate the state of objects around them to precisely manipulate objects. However,…

Robotics · Computer Science 2024-03-08 Yuxiang Ma , Arpit Agarwal , Sandra Q. Liu , Wenzhen Yuan , Edward H. Adelson

This paper investigates one of the most challenging tasks in dynamic manipulation -- catching large-momentum moving objects. Beyond the realm of quasi-static manipulation, dealing with highly dynamic objects can significantly improve the…

Robotics · Computer Science 2024-03-27 Lei Yan , Theodoros Stouraitis , João Moura , Wenfu Xu , Michael Gienger , Sethu Vijayakumar

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 cause damage to objects.…

Handling oversized, variable-shaped, or delicate objects in transportation, grasping tasks is extremely challenging, mainly due to the limitations of the gripper's shape and size. This paper proposes a novel gripper, Lasso Gripper. Inspired…

Robotics · Computer Science 2025-06-18 Qiyuan Qiao , Yu Wang , Xiyu Fan , Peng Lu

One of the trendsetting themes in soft robotics has been the goal of developing the ultimate universal soft robotic gripper. One that is capable of manipulating items of various shapes, sizes, thicknesses, textures, and weights. All the…

Robotics · Computer Science 2024-05-17 Ryo Kanno , Pham H. Nguyen , Joshua Pinskier , David Howard , Sukho Song , Mirko Kovac

Teleoperation is often limited by the ability of an operator to react and predict the behavior of the robot as it interacts with the environment. For example, to grasp small objects on a table, the teleoperator needs to predict the position…

Robotics · Computer Science 2022-05-17 Guilherme Maeda , Naoki Fukaya , Shin-ichi Maeda

This paper presents a design methodology of a hydraulically-driven soft robotic gripper for grasping a large and heavy object -- approximately 10 - 20 kg with 20 - 30 cm diameter. Most existing soft grippers are pneumatically actuated with…

Robotics · Computer Science 2026-01-15 Ko Yamamoto , Kyosuke Ishibashi , Hiroki Ishikawa , Osamu Azami