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相关论文: Proprioceptive Origami Manipulator

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An underdeveloped capability in soft robotics is proprioceptive feedback control, where soft actuators can be sensed and controlled using only sensors on the robot's body. Additionally, soft actuators are often unable to support human-scale…

Origami offers a promising alternative for designing innovative soft robotic actuators. While features of origami, such as bi-directional motion and structural anisotropy, haven't been extensively explored in the past, this letter presents…

机器人学 · 计算机科学 2023-10-18 Shuai Liu , Sheeraz Athar , Michael Yu Wang

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…

机器人学 · 计算机科学 2025-11-04 Peiyi Wang , Paul A. M. Lefeuvre , Shangwei Zou , Zhenwei Ni , Daniela Rus , Cecilia Laschi

Origami-inspired robotic grippers have shown promising potential for object manipulation tasks due to their compact volume and mechanical flexibility. However, robust capture of objects with random shapes in dynamic working environments…

机器人学 · 计算机科学 2026-04-30 Alec Boron , Bokun Zheng , Ziyang Zhou , Noel Naughton , Suyi Li

Reconfigurable robots that can change their physical configuration post-fabrication have demonstrate their potential in adapting to different environments or tasks. However, it is challenging to determine how to optimally adjust…

机器人学 · 计算机科学 2025-04-15 Zhe Chen , Li Chen , Hao Zhang , Jianguo Zhao

Origami structures have been widely explored in robotics due to their many potential advantages. Origami robots can be very compact, as well as cheap and efficient to produce. In particular, they can be constructed in a flat format using…

机器人学 · 计算机科学 2023-08-01 Samira Zare , Alex Spaeth , Sandya Suresh , and Mircea Teodorescu

Soft robotic grippers gently and safely manipulate delicate objects due to their inherent adaptability and softness. Limited by insufficient stiffness and imprecise force control, conventional soft grippers are not suitable for applications…

机器人学 · 计算机科学 2025-03-04 Zhenwei Ni , Chang Xu , Zhihang Qin , Ceng Zhang , Zhiqiang Tang , Peiyi Wang , Cecilia Laschi

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…

机器人学 · 计算机科学 2020-10-13 Zicheng Kan , Yazhan Zhang , Chohei Pang , Michael Yu Wang

We present an approach to overcoming challenges in dynamical dexterity for robots through tunable origami structures. Our work leverages a one-parameter family of flat sheet crease patterns that folds into origami bellows, whose axial…

机器人学 · 计算机科学 2019-10-31 Wei-Hsi Chen , Shivangi Misra , Yuchong Gao , Young-Joo Lee , Daniel E. Koditschek , Shu Yang , Cynthia R. Sung

This study explores the use of origami composite structures as active aerodynamic control surfaces. Towards this goal, two origami concepts were designed leveraging a combination of analytical and finite element modeling, and computational…

This study examines a biology-inspired approach of using reconfigurable articulation to reduce the control requirement for soft robotic arms. We construct a robotic arm by assembling Kresling origami modules that exhibit predictable…

应用物理 · 物理学 2020-08-18 Joshua Kaufmann , Suyi Li

Origami, the traditional paper-folding art, has inspired the modern design of numerous flexible structures in science and engineering. In particular, origami structures with different physical properties have been studied and utilized for…

软凝聚态物质 · 物理学 2025-07-24 Rongxuan Li , Gary P. T. Choi

Origami-based design holds promise for developing materials whose mechanical properties are tuned by crease patterns introduced to thin sheets. Although there has been heuristic developments in constructing patterns with desirable…

软凝聚态物质 · 物理学 2015-08-05 Arthur A. Evans , Jesse L. Silverberg , Christian D. Santangelo

This work introduces Ori-Sense, a compliant capacitive sensor inspired by the inverted Kresling origami pattern. The device translates torsional deformation into measurable capacitance changes, enabling proprioceptive feedback for soft…

机器人学 · 计算机科学 2026-02-23 Hugo de Souza Oliveira , Xin Li , Mohsen Jafarpour , Edoardo Milana

Origami, the traditional art of paper folding, has revolutionized science and technology in recent years and has been found useful in various real-world applications. In particular, origami-inspired structures have been utilized for…

软凝聚态物质 · 物理学 2025-06-19 Rongxuan Li , Gary P. T. Choi

Thin sheets can be assembled into tubular origami structures that combine deployability with pronounced anisotropic stiffness, enabling applications ranging from robotics to deployable systems. However, most existing tubular origami designs…

应用物理 · 物理学 2026-04-15 Mingkai Zhang , Davood Farhadi

Flexible robotics are capable of achieving various functionalities by shape morphing, benefiting from their compliant bodies and reconfigurable structures. Here we construct and study a class of origami springs generalized from the known…

机器人学 · 计算机科学 2022-01-19 Qianying Chen , Fan Feng , Pengyu Lv , Huiling Duan

Origami-inspired mechanisms can transform flat sheets into functional three-dimensional dynamic structures that are lightweight, compact, and capable of complex motion. These properties make origami increasingly valuable in robotic and…

机器人学 · 计算机科学 2026-05-05 Tianhui Han , Shashwat Singh , Sarvesh Patil , Zeynep Temel

The geometric, aesthetic, and mathematical elegance of origami is being recognized as a powerful pathway to self-assembly of micro and nano-scale machines with programmable mechanical properties. The typical approach to designing the…

Origami designs and structures have been widely used in many fields, such as morphing structures, robotics, and metamaterials. However, the design and fabrication of origami structures rely on human experiences and skills, which are both…

机器人学 · 计算机科学 2024-08-16 Peiwen Yang , Shuguang Li
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