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Soft robotics gripper have shown great promise in handling fragile and geometrically complex objects. However, most existing solutions rely on bulky actuators, complex control strategies, or advanced tactile sensing to achieve stable and…

Robotics · Computer Science 2025-11-04 Peiyi Wang , Paul A. M. Lefeuvre , Shangwei Zou , Zhenwei Ni , Daniela Rus , Cecilia Laschi

This paper presents a hierarchical, performance-based framework for the design optimization of multi-fingered soft grippers. To address the need for systematically defined performance indices, the framework structures the optimization…

Robotics · Computer Science 2025-03-26 Hamed Rahimi Nohooji , Holger Voos

Soft actuators are receiving increasing attention from the engineering community, not only in research but even for industrial applications. Among soft actuators, fibre-reinforced Bending Fluidic Actuators (BFAs) became very popular thanks…

Materials Science · Physics 2016-09-26 Vito Cacucciolo , Federico Renda , Ernesto Poccia , Cecilia Laschi , Matteo Cianchetti

Palpation of human tissue during Minimally Invasive Surgery is hampered due to restricted access. In this extended abstract, we present a variable stiffness and dynamic force range sensor that has the potential to address this challenge.…

Medical Physics · Physics 2024-12-16 Abu Bakar Dawood , Zhenyu Zhang , Martin Angelmahr , Alberto Arezzo , Kaspar Althoefer

Soft Robots distinguish themselves from traditional robots by embracing flexible kinematics. Because of their recent emergence, there exist numerous uncharted territories, including novel actuators, manufacturing processes, and advanced…

Robotics · Computer Science 2024-01-23 Jorge Francisco García-Samartín , Adrián Rieker , Antonio Barrientos

Modern humanoid robots have shown their promising potential for executing various tasks involving the grasping and manipulation of objects using their end-effectors. Nevertheless, in the most of the cases, the grasping and manipulation…

Compliant and soft hands have gained a lot of attention in the past decade because of their ability to adapt to the shape of the objects, increasing their effectiveness for grasping. However, when it comes to grasping highly flexible…

Robotics · Computer Science 2020-04-10 Júlia Borràs , Guillem Alenya , Carme Torras

Modulating the stiffness of soft actuators is crucial for improving the efficiency of interaction with the environment. However, current stiffness modulation mechanisms are hard to achieve high lateral stiffness and a wide range of bending…

Robotics · Computer Science 2023-12-19 Jianfeng Lin , Ruikang Xiao , Zhao Guo

Contrary to the stunning feats observed in birds of prey, aerial manipulation and grasping with flying robots still lack versatility and agility. Conventional approaches using rigid manipulators require precise positioning and are subject…

Robotics · Computer Science 2023-08-15 Samuel Ubellacker , Aaron Ray , James Bern , Jared Strader , Luca Carlone

Classical rigid-bodied robotic systems are presented with proven success in theoretical development and industrial applications, are recently challenged by the emergence of soft robotics due to a growing need in physical human-robot…

Robotics · Computer Science 2020-03-03 Yaohui Chen , Sing Le , Qiao Chu Tan , Oscar Lau , Fang Wan , Chaoyang Song

Human fingers achieve exceptional dexterity and adaptability by combining structures with varying stiffness levels, from soft tissues (low) to tendons and cartilage (medium) to bones (high). This paper explores developing a robotic finger…

Soft grippers have demonstrated a strong ability to successfully pick and manipulate many objects. A key limitation to their wider adoption is their inability to grasp larger payloads due to objects slipping out of grasps. We have overcome…

Robotics · Computer Science 2024-12-12 Ian Good , Srivatsan Balaji , Jeffrey I. Lipton

Soft optical tactile sensors enable robots to manipulate deformable objects by capturing important features such as high-resolution contact geometry and estimations of object compliance. This work presents a variable stiffness soft tactile…

Robotics · Computer Science 2021-05-19 Carolyn Matl , Josephine Koe , Ruzena Bajcsy

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

To increase the awareness and impact, soft robotics needs to go beyond the lab environment and should be readily accessible to those even with no robotic expertise. However, most prevailing manufacturing methodologies require either…

Robotics · Computer Science 2021-09-02 Qiukai Qi , Shogo Yoshida , Genki Kakihana , Takuma Torii , Van Anh Ho , Haoran Xie

While its biological significance is well-documented, its application in soft robotics, particularly for the transport of fragile and irregularly shaped objects, remains underexplored. This study presents a modular soft robotic actuator…

Robotics · Computer Science 2024-12-11 Brian Ye , Zhuonan Hao , Priya Shah , Mohammad Khalid Jawed

Manipulating fragile objects in environments such as homes and factories requires stable and gentle grasping along with precise and safe placement. Compared to traditional rigid grippers, the use of soft grippers reduces the control…

Robotics · Computer Science 2024-10-07 Xuyang Zhang , Tianqi Yang , Dandan Zhang , Nathan F. Lepora

External collisions to robot actuators typically pose risks to grasping circular objects. This work presents a vision-based sensing module capable of detecting collisions to maintain stable grasping with a soft gripper system. The system…

Robotics · Computer Science 2025-08-08 Boyang Zhang , Jiahui Zuo , Zeyu Duan , Fumin Zhang

Soft robotic grippers facilitate contact-rich manipulation, including robust grasping of varied objects. Yet the beneficial compliance of a soft gripper also results in significant deformation that can make precision manipulation…

Pneunets are the primary form of soft robotic grippers. A key limitation to their wider adoption is their inability to grasp larger payloads due to objects slipping out of grasps. We have overcome this limitation by introducing a…

Robotics · Computer Science 2024-01-26 Ian Sullivan Good , Srivatsan Balaji , Jeffrey Ian Lipton