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Related papers: Collision-Aware Fast Simulation for Soft Robots by…

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As robots operate in increasingly complex and dynamic environments, fast motion re-planning has become a widely explored area of research. In a real-world deployment, we often lack the ability to fully observe the environment at all times,…

Robotics · Computer Science 2022-02-08 Mark Nicholas Finean , Wolfgang Merkt , Ioannis Havoutis

We present a computational design system that assists users to model, optimize, and fabricate quad-robots with soft skins.Our system addresses the challenging task of predicting their physical behavior by fully integrating the multibody…

Graphics · Computer Science 2019-07-02 Xudong Feng , Jiafeng Liu , Huamin Wang , Yin Yang , Hujun Bao , Bernd Bickel , Weiwei Xu

Real-time proprioception is a challenging problem for soft robots, which have almost infinite degrees-of-freedom in body deformation. When multiple actuators are used, it becomes more difficult as deformation can also occur on actuators…

Robotics · Computer Science 2020-12-24 Rob B. N. Scharff , Guoxin Fang , Yingjun Tian , Jun Wu , Jo M. P. Geraedts , Charlie C. L. Wang

Dynamic control of a soft-body robot to deliver complex behaviors with low-dimensional actuation inputs is challenging. In this paper, we present a computational approach to automatically generate versatile, underactuated control policies…

Robotics · Computer Science 2020-12-02 Yitong Deng , Yaorui Zhang , Xingzhe He , Shuqi Yang , Yunjin Tong , Michael Zhang , Daniel DiPietro , Bo Zhu

Magnetic soft robots embedded with hard magnetic particles enable untethered actuation via external magnetic fields, offering remote, rapid, and precise control, which is highly promising for biomedical applications. However, designing such…

Robotics · Computer Science 2025-07-15 Liwei Wang

Soft robots are inherently compliant and have a strong potential to realize human-friendly and safe robots. Despite continued research highlighting the potential of soft robots, they remain largely confined to laboratory settings. In this…

Robotics · Computer Science 2022-02-15 Dimuthu D. K. Arachchige , Isuru S. Godage

Generating intelligent robot behavior in contact-rich settings is a research problem where zeroth-order methods currently prevail. A major contributor to the success of such methods is their robustness in the face of non-smooth and…

Robotics · Computer Science 2025-04-15 Onur Beker , Nico Gürtler , Ji Shi , A. René Geist , Amirreza Razmjoo , Georg Martius , Sylvain Calinon

Soft robotics has emerged as a promising technology that holds great potential for various application areas. This is due to soft materials unique properties, including flexibility, safety, and shock absorption, among others. Despite many…

Robotics · Computer Science 2024-08-12 Andrija Milojevic , Kyrre Glette

Passive deformation due to compliance is a commonly used benefit of soft robots, providing opportunities to achieve robust actuation with few active degrees of freedom. Soft growing robots in particular have shown promise in navigation of…

Robotics · Computer Science 2026-04-21 Francesco Fuentes , Serigne Diagne , Zachary Kingston , Laura H. Blumenschein

Soft growing robots, commonly referred to as vine robots, have demonstrated remarkable ability to interact safely and robustly with unstructured and dynamic environments. It is therefore natural to exploit contact with the environment for…

Robotics · Computer Science 2026-02-10 Yitian Gao , Lucas Chen , Priyanka Bhovad , Sicheng Wang , Zachary Kingston , Laura H. Blumenschein

Humanoid robots are envisioned as general-purpose platforms in human-centered environments, yet their deployment is limited by vulnerability to falls and the risks posed by rigid metal-plastic structures to people and surroundings. We…

Soft robots have the potential to revolutionize the use of robotic systems with their capability of establishing safe, robust, and adaptable interactions with their environment, but their precise control remains challenging. In contrast,…

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and…

Soft Condensed Matter · Physics 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

The deployment of complex soft robots in multiphysics environments requires advanced simulation frameworks that not only capture interactions between different types of material, but also translate accurately to real-world performance. Soft…

Robotics · Computer Science 2026-03-09 Manuel Mekkattu , Mike Y. Michelis , Robert K. Katzschmann

The paper focuses on collision-inclusive motion planning for impact-resilient mobile robots. We propose a new deformation recovery and replanning strategy to handle collisions that may occur at run-time. Contrary to collision avoidance…

Robotics · Computer Science 2021-08-05 Zhouyu Lu , Zhichao Liu , Konstantinos Karydis

Simulating soft robots in cluttered environments remains an open problem due to the challenge of capturing complex dynamics and interactions with the environment. Furthermore, fast simulation is desired for quickly exploring robot behaviors…

Robotics · Computer Science 2020-11-04 Rianna Jitosho , Nathaniel Agharese , Allison Okamura , Zac Manchester

As aerial robots are tasked to navigate environments of increased complexity, embedding collision tolerance in their design becomes important. In this survey we review the current state-of-the-art within the niche field of…

Robotics · Computer Science 2022-12-07 Paolo De Petris , Stephen J. Carlson , Christos Papachristos , Kostas Alexis

One of the most important aspects of autonomous systems is safety. This includes ensuring safe human-robot and safe robot-environment interaction when autonomously performing complex tasks or in collaborative scenarios. Although several…

Robotics · Computer Science 2023-12-18 Moritz Eckhoff , Dennis Knobbe , Henning Zwirnmann , Abdalla Swikir , Sami Haddadin

Morphological regeneration is an important feature that highlights the environmental adaptive capacity of biological systems. Lack of this regenerative capacity significantly limits the resilience of machines and the environments they can…

Neural and Evolutionary Computing · Computer Science 2021-02-09 Kazuya Horibe , Kathryn Walker , Sebastian Risi

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