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Soft robots have high adaptability and safeness which are derived from their softness, and therefore it is paid attention to use them in human society. However, the controllability of soft robots is not enough to perform dexterous behaviors…

机器人学 · 计算机科学 2024-08-01 Sumitaka Honji , Hikaru Arita , Kenji Tahara

This work proposes a novel generative design tool for passive grippers -- robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. Passive…

图形学 · 计算机科学 2023-06-07 Milin Kodnongbua , Ian Good Yu Lou , Jeffrey Lipton , Adriana Schulz

We propose, implement and evaluate a natural human-machine control interface for a variable stiffness transradial hand prosthesis that achieves tele-impedance control through surface electromyography (sEMG) signals. This interface, together…

信号处理 · 电气工程与系统科学 2019-10-29 Elif Hocaoglu , Volkan Patoglu

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array…

This paper presents a shear-based control scheme for grasping and manipulating delicate objects with a Pisa/IIT anthropomorphic SoftHand equipped with soft biomimetic tactile sensors on all five fingertips. These `microTac' tactile sensors…

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…

机器人学 · 计算机科学 2026-02-17 Ali Ghanizadeh , Ali Ahmadi , Arash Bahrami

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.…

机器人学 · 计算机科学 2023-04-06 Fukang Liu , Fuchun Sun , Bin Fang , Xiang Li , Songyu Sun , Huaping Liu

Many soft robots struggle to produce dynamic motions with fast, large displacements. We develop a parallel 6 degree-of-freedom (DoF) Stewart-Gough mechanism using Handed Shearing Auxetic (HSA) actuators. By using soft actuators, we are able…

This work introduces TRIGGER, the first lighTweight univeRsal jammInG Gripper for aErial gRasping. TRIGGER is an omnidirectional, landing-capable aerial grasping system with resilience and robustness to collisions and inherent passive…

机器人学 · 计算机科学 2023-05-22 Paul Kremer , Hamed Rahimi Nohooji , Jose Luis Sanchez-Lopez , Holger Voos

In robotic hand research, minimizing the number of actuators while maintaining human-hand-consistent dimensions and degrees of freedom constitutes a fundamental challenge. Drawing bio-inspiration from human hand kinematic configurations and…

机器人学 · 计算机科学 2025-12-05 Haoqi Han , Yi Yang , Yifei Yu , Yixuan Zhou , Xiaohan Zhu , Hesheng Wang

Contact-rich manipulation tasks in unstructured environments pose significant robustness challenges for robot learning, where unexpected collisions can cause damage and hinder policy acquisition. Existing soft end-effectors face fundamental…

机器人学 · 计算机科学 2026-02-17 Steven Oh , Tomoya Takahashi , Cristian C. Beltran-Hernandez , Yuki Kuroda , Masashi Hamaya

Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate into efficient manipulation of thin deformable objects. Current…

机器人学 · 计算机科学 2025-07-09 Chao Zhao , Chunli Jiang , Lifan Luo , Shuai Yuan , Qifeng Chen , Hongyu Yu

Soft growing robots are proposed for use in applications such as complex manipulation tasks or navigation in disaster scenarios. Safe interaction and ease of production promote the usage of this technology, but soft robots can be…

机器人学 · 计算机科学 2019-10-30 Fabio Stroppa , Ming Luo , Kyle Yoshida , Margaret M. Coad , Laura H. Blumenschein , Allison M. Okamura

In this project, we focus on human-robot interaction in caregiving scenarios like bathing, where physical contact is inevitable and necessary for proper task execution because force must be applied to the skin. Using finite element…

Human grasps can be roughly categorized into two types: power grasps and precision grasps. Precision grasping enables tool use and is believed to have influenced human evolution. Today's multi-fingered robotic hands are effective in power…

机器人学 · 计算机科学 2025-11-18 Jianglong Ye , Lai Wei , Guangqi Jiang , Changwei Jing , Xueyan Zou , Xiaolong Wang

Multi-fingered hands offer great potential for compliant and robust grasping of unknown objects, yet their high-dimensional force control presents a significant challenge. This work addresses two key problems: (1) distributing forces across…

机器人学 · 计算机科学 2026-03-10 Yubin Ke , Jiayi Chen , Hang Lv , Xiao Zhou , He Wang

Soft robotics is an emerging technology in which engineers create flexible devices for use in a variety of applications. In order to advance the wide adoption of soft robots, ensuring their trustworthiness is essential; if soft robots are…

Passive elastic elements can contribute to stability, energetic efficiency, and impact absorption in both biological and robotic systems. They also add dynamical complexity which makes them more challenging to model and control. The impact…

机器人学 · 计算机科学 2019-09-30 Ali Marjaninejad , Jie Tan , Francisco J. Valero-Cuevas

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.…

医学物理 · 物理学 2024-12-16 Abu Bakar Dawood , Zhenyu Zhang , Martin Angelmahr , Alberto Arezzo , Kaspar Althoefer

In assistive robots, compliant actuator is a key component in establishing safe and satisfactory physical human-robot interaction (pHRI). The performance of compliant actuators largely depends on the stiffness of the elastic element.…

机器人学 · 计算机科学 2022-07-26 Yuepeng Qian , Shuaishuai Han , Gabriel Aguirre-Ollinger , Chenglong Fu , Haoyong Yu
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