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Related papers: Soft Robots for Extreme Environments: Removing Ele…

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Robots built from soft materials will inherently apply lower environmental forces than their rigid counterparts, and therefore may be more suitable in sensitive settings with unintended contact. However, these robots' applied forces result…

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

The vision of creating entirely-soft robots capable of performing complex tasks will be accomplished only when the controllers required for autonomous operation can be fully implemented on soft components. Despite recent advances in…

Robotics · Computer Science 2020-03-10 Ke Xu , Nestor O. Perez-Arancibia

Soft robots manufactured with flexible materials can be highly compliant and adaptive to their surroundings, which facilitates their application in areas such as dexterous manipulation and environmental exploration. This paper aims at…

Systems and Control · Electrical Eng. & Systems 2025-07-01 Renjie Ma , Ziyao Qu , Zhijian Hu , Dong Zhao , Marios M. Polycarpou

Biomimetic entirely soft robots with animal-like behavior and integrated artificial nervous systems will open up totally new perspectives and applications. However, until now all presented studies on soft robots were limited to partly soft…

Robotics · Computer Science 2016-03-18 E. -F. Markus Henke , Samuel Schlatter , Iain A. Anderson

Soft robots are notoriously hard to control. This is partly due to the scarcity of models able to capture their complex continuum mechanics, resulting in a lack of control methodologies that take full advantage of body compliance. Currently…

Robotics · Computer Science 2020-09-18 Noel Naughton , Jiarui Sun , Arman Tekinalp , Girish Chowdhary , Mattia Gazzola

Traditional robots have rigid links and structures that limit their ability to interact with the dynamics of their immediate environment. For example, conventional robot manipulators with rigid links can only manipulate objects using…

Robotics · Computer Science 2019-10-09 Gideon Gbenga Oladipupo

Soft robotics technology can aid in achieving United Nations Sustainable Development Goals (SDGs) and the Paris Climate Agreement through development of autonomous, environmentally responsible machines powered by renewable energy. By…

Robotics · Computer Science 2023-03-22 Goffredo Giordano , Saravana Prashanth Murali Babu , Barbara Mazzolai

Almost all robotic systems in use have hard shells, which is limiting in many ways their full potential of physical interaction with humans or their surrounding environment. Robots with soft-shell covers offer an alternative morphology…

Systems and Control · Electrical Eng. & Systems 2021-10-15 Yukiko Osawa , Yuho Kinbara , Masakazu Kageoka , Kenji Iida , Abderrahmane Kheddar

Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of…

In most macro-scale robotics systems , propulsion and controls are enabled through a physical tether or complex on-board electronics and batteries. A tether simplifies the design process but limits the range of motion of the robot, while…

Robotics · Computer Science 2017-10-16 Tian Chen , Osama R. Bilal , Kristina Shea , Chiara Daraio

Many soft-body organisms found in nature flourish underwater. Similarly, soft robots are potentially well-suited for underwater environments partly because the problematic effects of gravity, friction, and harmonic oscillations are less…

Robotics · Computer Science 2022-12-07 W. David Null , Y Z

In the quest for electrically-driven soft actuators, the focus has shifted away from liquid-gas phase transition, commonly associated with reduced strain rates and actuation delays, in favour of electrostatic and other electrothermal…

Robotics · Computer Science 2025-04-28 Diogo Fonseca , Pedro Neto

Soft robots have a myriad of potentials because of their intrinsically compliant bodies, enabling safe interactions with humans and adaptability to unpredictable environments. However, most of them have limited actuation speeds, require…

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

Living organisms intertwine soft (e.g., muscle) and hard (e.g., bones) materials, giving them an intrinsic flexibility and resiliency often lacking in conventional rigid robots. The emerging field of soft robotics seeks to harness these…

Robotics · Computer Science 2018-02-21 John Rieffel , Jean-Baptiste Mouret

Soft robotic systems have gained widespread attention due to their inherent flexibility, adaptability, and safety, making them well-suited for varied applications. Among bioinspired designs, earthworm locomotion has been extensively studied…

Robotics · Computer Science 2026-01-21 Riddhi Das , Joscha Teichmann , Thomas Speck , Falk J. Tauber

Machines designed for operation in Space, as well as other extreme environments, need to be both resilient and adaptable when mission parameters change. Soft robots offer advantages in adaptability, but most lack resilience to the pressure…

Soft robotics has emerged as a transformative technology in Search and Rescue (SAR) operations, addressing challenges in navigating complex, hazardous environments that often limit traditional rigid robots. This paper critically examines…

Robotics · Computer Science 2025-02-19 Abhishek Sebastian

Soft robots offer unmatched adaptability and safety in unstructured environments, yet their compliant, high-dimensional, and nonlinear dynamics make modeling for control notoriously difficult. Existing data-driven approaches often fail to…

Robotics · Computer Science 2025-11-03 Hehui Zheng , Bhavya Sukhija , Chenhao Li , Klemens Iten , Andreas Krause , Robert K. Katzschmann
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