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Soft sensors have continued growing interest in robotics, due to their ability to enable both passive conformal contact from the material properties and active contact data from the sensor properties. However, the same properties of…

机器人学 · 计算机科学 2022-02-15 Raunaq Bhirangi , Tess Hellebrekers , Carmel Majidi , Abhinav Gupta

Reproducing the capabilities of the human sense of touch in machines is an important step in enabling robot manipulation to have the ease of human dexterity. A combination of robotic technologies will be needed, including soft robotics,…

机器人学 · 计算机科学 2021-07-23 Nathan F. Lepora

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

Understanding the physical interaction with wearable robots is essential to ensure safety and comfort. However, this interaction is complex in two key aspects: (1) the motion involved, and (2) the non-linear behaviour of soft tissues.…

机器人学 · 计算机科学 2025-11-19 Felipe Ballen-Moreno , Pasquale Ferrentino , Milan Amighi , Bram Vanderborght , Tom Verstraten

Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them,…

机器人学 · 计算机科学 2022-03-10 Tai Hoang

Tactile sensing is essential for robots to perceive and react to the environment. However, it remains a challenge to make large-scale and flexible tactile skins on robots. Industrial machine knitting provides solutions to manufacture…

机器人学 · 计算机科学 2023-03-07 Zilin Si , Tianhong Catherine Yu , Katrene Morozov , James McCann , Wenzhen Yuan

Growing robots based on the eversion principle are known for their ability to extend rapidly, from within, along their longitudinal axis, and, in doing so, reach deep into hitherto inaccessible, remote spaces. Despite many advantages,…

机器人学 · 计算机科学 2023-07-20 Cem Suulker , Sophie Skach , Danyaal Kaleel , Taqi Abrar , Zain Murtaza , Dilara Suulker , Kaspar Althoefer

Soft underwater robots typically explore bioinspired designs at the expense of power efficiency when compared to traditional underwater robots, which limits their practical use in real-world applications. We leverage a fluidic closed-loop…

Soft robots are known for their ability to perform tasks with great adaptability, enabled by their distributed, non-uniform stiffness and actuation. Bending is the most fundamental motion for soft robot design, but creating robust, and…

机器人学 · 计算机科学 2024-10-18 Sicheng Wang , Eugenio Frias-Miranda , Antonio Alvarez Valdivia , Laura H. Blumenschein

As of today, robots exhibit impressive agility but also pose potential hazards to humans using/collaborating with them. Consequently, safety is considered the most paramount factor in human-robot interaction (HRI). This paper presents a…

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 offer adaptability and safe interaction with complex environments. Rapid prototyping kits that allow soft robots to be assembled easily will allow different geometries to be explored quickly to suit different environments or to…

机器人学 · 计算机科学 2024-10-28 Luyang Zhao , Yitao Jiang , Chun-Yi She , Muhao Chen , Devin Balkcom

Softening and onboarding computers and controllers is one of the final frontiers in soft robotics towards their robustness and intelligence for everyday use. In this regard, embodying soft and physical computing presents exciting potential.…

机器人学 · 计算机科学 2026-02-10 Jun Wang , Ziyang Zhou , Ardalan Kahak , Suyi Li

Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters when operating in task space. This shortcoming makes…

机器人学 · 计算机科学 2022-10-19 Oliver Fischer , Yasunori Toshimitsu , Amirhossein Kazemipour , Robert K. Katzschmann

Robotic assistance has significantly improved the outcomes of open microsurgery and rigid endoscopic surgery, however is yet to make an impact in flexible endoscopic neurosurgery. Some of the most common intracranial procedures for…

机器人学 · 计算机科学 2024-04-23 Kieran Gilday , Irena Zubak , Andreas Raabe , Josie Hughes

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…

Soft robotic hands and grippers are increasingly attracting attention as a robotic end-effector. Compared with rigid counterparts, they are safer for human-robot and environment-robot interactions, easier to control, lower cost and weight,…

机器人学 · 计算机科学 2021-09-07 Haihang Wang , Fares J. Abu-Dakka , Tran Nguyen Le , Ville Kyrki , He Xu

Physical embodiment is a required component for robots that are structurally coupled with their real-world environments. However, most socially interactive robots do not need to physically interact with their environments in order to…

机器人学 · 计算机科学 2019-12-03 Eric Deng , Bilge Mutlu , Maja Mataric

Soft machines are poised to deliver significant real-world impact, with soft robotics emerging as a key sub-discipline. This field integrates biological inspiration, materials science, and embodied intelligence to create bio-robotic…

机器人学 · 计算机科学 2025-02-18 M. Gepner , J. Mack , A. A. Stokes

With soft robotics being increasingly employed in settings demanding high and controlled contact forces, recent research has demonstrated the use of soft robots to estimate or intrinsically sense forces without requiring external sensing…

机器人学 · 计算机科学 2021-11-22 Lukas Lindenroth , Danail Stoyanov , Kawal Rhode , Hongbin Liu