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Whole-body manipulation is a powerful yet underexplored approach that enables robots to interact with large, heavy, or awkward objects using more than just their end-effectors. Soft robots, with their inherent passive compliance, are…

Robotics · Computer Science 2025-09-30 Curtis C. Johnson , Carlo Alessi , Egidio Falotico , Marc D. Killpack

Although soft robots show safer interactions with their environment than traditional robots, soft mechanisms and actuators still have significant potential for damage or degradation particularly during unmodeled contact. This article…

Robotics · Computer Science 2022-08-03 Andrew P. Sabelhaus , Zach J. Patterson , Anthony T. Wertz , Carmel Majidi

Tried-and-true flapping wing robot simulation is essential in developing flapping wing mechanisms and algorithms. This paper presents a novel application-oriented flapping wing platform, highly compatible with various mechanical designs and…

Robotics · Computer Science 2023-03-09 Chen Qian , Yongchun Fang , Fan jia , Jifu Yan , Yiming Liang , Tiefeng Li

Skeletal muscle-based biohybrid actuators have proved to be a promising component in soft robotics, offering efficient movement. However, their intrinsic biological variability and nonlinearity pose significant challenges for…

Soft materials have many important roles in animal locomotion and object manipulation. In robotic applications soft materials can store and release energy, absorb impacts, increase compliance and increase the range of possible shape…

Robotics · Computer Science 2015-09-28 Vishesh Vikas , Paul Templeton , Barry Trimmer

Soft robotic manipulators are attractive for a range of applications such as medical interventions or industrial inspections in confined environments. A myriad of soft robotic manipulators have been proposed in the literature, but their…

Reconfigurable robot swarms are capable of connecting with each other to form complex structures. Current mechanical or magnetic connection mechanisms can be complicated to manufacture, consume high power, have a limited load-bearing…

Robotics · Computer Science 2024-12-03 Sha Yi , Katia Sycara , Zeynep Temel

We have designed and tested experimentally a morphing structure consisting of a neutrally stable thin cylindrical shell driven by a multiparameter piezoelectric actuation. The shell is obtained by plastically deforming an initially flat…

Soft Condensed Matter · Physics 2017-10-25 Walid Hamouche , Corrado Maurini , Stefano Vidoli , Angela Vincenti

With the explosive growth of rigid-body simulators, policy learning in simulation has become the de facto standard for most rigid morphologies. In contrast, soft robotic simulation frameworks remain scarce and are seldom adopted by the soft…

Robotics · Computer Science 2025-11-11 Andrew Choi , Dezhong Tong

Sliding tasks performed by aerial robots are valuable for inspection and simple maintenance tasks at height, such as non-destructive testing and painting. Although various end-effector designs have been used for such tasks, non-actuated…

Soft robots are typically approximated as low-dimensional systems, especially when learning-based methods are used. This leads to models that are limited in their capability to predict the large number of deformation modes and interactions…

Robotics · Computer Science 2022-05-10 Thomas George Thuruthel , Fumiya Iida

Humans manipulate various kinds of fluids in their everyday life: creating latte art, scooping floating objects from water, rolling an ice cream cone, etc. Using robots to augment or replace human labors in these daily settings remain as a…

Robotics · Computer Science 2023-03-07 Zhou Xian , Bo Zhu , Zhenjia Xu , Hsiao-Yu Tung , Antonio Torralba , Katerina Fragkiadaki , Chuang Gan

Soft robots, while highly adaptable to diverse environments through various actuation methods, still face significant performance boundary due to the inherent properties of materials. These limitations manifest in the challenge of…

Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing application across various fields. Among these benefits,…

Robot manipulation in cluttered scenes often requires contact-rich interactions with objects. It can be more economical to interact via non-prehensile actions, for example, push through other objects to get to the desired grasp pose,…

Robotics · Computer Science 2023-03-24 Dhruv Mauria Saxena , Muhammad Suhail Saleem , Maxim Likhachev

Applications of mobile ground robots demand high speed and agility while navigating in complex indoor environments. These present an ongoing challenge in mobile robotics. A system with these specifications would be of great use for a wide…

Soft robotics is an attractive and rapidly emerging field, in which actuation is coupled with the elastic response of the robot's structure to achieve complex deformation patterns. A crucial challenge is the need for multiple control…

Robotics · Computer Science 2024-07-23 Geron Yamit , Ben-Haim Eran , Gat D. Amir , Or Yizhar , Givli Sefi

Mobile soft robots offer compelling applications in fields ranging from urban search and rescue to planetary exploration. A critical challenge of soft robotic control is that the nonlinear dynamics imposed by soft materials often result in…

Robotics · Computer Science 2020-11-26 Kyle Doney , Aikaterini Petridou , Jacob Karaul , Ali Khan , Geoffrey Liu , John Rieffel

Inspired by the snap-through action of a steel hairclip, we propose a design method for in-plane prestressed mechanisms that exhibit biomimetic morphing and high locomotion performance. Compliant bistable flapping mechanisms are fabricated…

Robotics · Computer Science 2023-11-07 Zechen Xiong , Liqi Chen , Wenxiong Hao , Yufeng Su , Hod Lipson

Navigating rugged landscapes poses significant challenges for legged locomotion. Multi-legged robots (those with 6 and greater) offer a promising solution for such terrains, largely due to their inherent high static stability, resulting…

Robotics · Computer Science 2024-09-17 Juntao He , Baxi Chong , Zhaochen Xu , Sehoon Ha , Daniel I. Goldman