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相关论文: A Soft Electronics-Free robot

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This paper introduces novel air actuated spherical robot called "RollRoller". The RollRoller robot consists of two essential parts: tubes covered with a shell as a frame and mechanical controlling parts to correspond movements. The…

机器人学 · 计算机科学 2016-10-20 Seyed Amir Tafrishi

Soft robots are distinguished by their flexibility and adaptability, allowing them to perform nearly impossible tasks for rigid robots. However, controlling their behavior is challenging due to their nonlinear material response and infinite…

机器人学 · 计算机科学 2025-05-14 Juan C. Osorio , Jhonatan S. Rincon , Harith Morgan , Andres F. Arrieta

Soft robots, in contrast to their rigid counter parts, have infinite degrees of freedom that are coupled with their interaction with the environment. We consider the locomotion of an untethered robot, in the granular medium, comprised of…

机器人学 · 计算机科学 2021-03-09 Yayun Du , Jacqueline Lam , Karunesh Sachanandani , Mohammad Khalid Jawed

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…

机器人学 · 计算机科学 2022-08-03 Andrew P. Sabelhaus , Zach J. Patterson , Anthony T. Wertz , Carmel Majidi

Active systems of self-propelled agents, e.g., birds, fish, and bacteria, can organize their collective motion into myriad autonomous behaviors. Ubiquitous in nature and across length scales, such phenomena are also amenable to artificial…

软凝聚态物质 · 物理学 2024-04-17 Yuchen Xi , Trevor J. Jones , Richard Huang , Tom Marzin , P. -T. Brun

We present SMORS, the first Soft fully actuated MultirOtoR System for multimodal locomotion. Unlike conventional hexarotors, SMORS is equipped with three rigid and three continuously soft arms, with each arm hosting a propeller. We create a…

机器人学 · 计算机科学 2022-04-06 Markus Ryll , Robert K. Katzschmann

Developing soft robots that can control their own life-cycle and degrade on-demand while maintaining hyper-elasticity is a significant research challenge. On-demand degradable soft robots, which conserve their original functionality during…

Evolutionary robotics aims to automatically design autonomous adaptive morphological robots that can evolve to accomplish a specific task while adapting to environmental changes. Soft robotics have demonstrated the feasibility of…

机器人学 · 计算机科学 2017-06-01 Reem J. Alattas , Sarosh Patel , Tarek M. Sobh

Soft mobile robots have emerged as a promising area of research with potential applications in various disciplines including but not limited to search-and-rescue, service, surveillance, explorations, and manufacturing. In this article, we…

机器人学 · 计算机科学 2026-05-21 Dimuthu D. K. Arachchige

Soft robots offer more flexibility, compliance, and adaptability than traditional rigid robots. They are also typically lighter and cheaper to manufacture. However, their use in real-world applications is limited due to modeling challenges…

Both the design and control of a robot play equally important roles in its task performance. However, while optimal control is well studied in the machine learning and robotics community, less attention is placed on finding the optimal…

机器人学 · 计算机科学 2022-01-25 Jagdeep Singh Bhatia , Holly Jackson , Yunsheng Tian , Jie Xu , Wojciech Matusik

We introduce SoftMimic, a framework for learning compliant whole-body control policies for humanoid robots from example motions. Imitating human motions with reinforcement learning allows humanoids to quickly learn new skills, but existing…

机器人学 · 计算机科学 2025-10-21 Gabriel B. Margolis , Michelle Wang , Nolan Fey , Pulkit Agrawal

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…

机器人学 · 计算机科学 2023-03-22 Goffredo Giordano , Saravana Prashanth Murali Babu , Barbara Mazzolai

Bio-inspired underwater vehicles could yield improved efficiency, maneuverability, and environmental compatibility over conventional propeller-driven underwater vehicles. However, to realize the swimming performance of biology, there is a…

机器人学 · 计算机科学 2025-04-16 Kevin Soto , Isabel Hess , Brandon Schrader , Shan He , Patrick Musgrave

Soft robotic snakes made of compliant materials can continuously deform their bodies and, therefore, mimic the biological snakes' flexible and agile locomotion gaits better than their rigid-bodied counterparts. Without wheel support, to…

Complex and even chaotic dynamics, though prevalent in many natural and engineered systems, has been largely avoided in the design of electromechanical systems due to concerns about wear and controlability. Here, we demonstrate that complex…

As soft robot design matures, researchers have converged to sophisticated design paradigms to enable the development of more suitable platforms. Two such paradigms are soft-rigid hybrid robots, which utilize rigid structural materials in…

机器人学 · 计算机科学 2025-06-05 Zach J. Patterson , Emily R. Sologuren , Daniela Rus

Soft-robot designs are manifold, but only a few are publicly available. Often, these are only briefly described in their publications. This complicates reproduction, and hinders the reproducibility and comparability of research results. If…

机器人学 · 计算机科学 2024-04-17 Tim-Lukas Habich , Jonas Haack , Mehdi Belhadj , Dustin Lehmann , Thomas Seel , Moritz Schappler

Soft robots - due to their intrinsic flexibility of the body - can adaptively navigate unstructured environments. One of the most popular locomotion gaits that has been implemented in soft robots is undulation. The undulation motion in soft…

机器人学 · 计算机科学 2024-10-10 Tung D. Ta

Soft robots have gained significant attention due to their flexibility and safety, particularly in human-centric applications. The co-design of structure and controller in soft robotics has presented a longstanding challenge owing to the…

计算工程、金融与科学 · 计算机科学 2024-07-15 Yuki Sato , Changyoung Yuhn , Hiroki Kobayashi , Atsushi Kawamoto , Tsuyoshi Nomura