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Electrically-driven soft robots based on piezoelectric actuators may enable compact form factors and maneuverability in complex environments. In most prior work, piezoelectric actuators are used to control a single degree of freedom. In…

机器人学 · 计算机科学 2024-03-12 Zhiwu Zheng , Prakhar Kumar , Yenan Chen , Hsin Cheng , Sigurd Wagner , Minjie Chen , Naveen Verma , James C. Sturm

The morphology of a slender soft-robot can be modified by sensing its shape via sensors and exerting moments via actuators embedded along its body. The actuating moments required to morph these soft-robots to a desired shape are often…

机器人学 · 计算机科学 2025-09-23 Vishnu Deo Mishra , S Ganga Prasath

This work proposes a novel transformation termed the conformal navigation transformation to achieve collision-free navigation of a robot in a workspace populated with arbitrary polygonal obstacles. The properties of the conformal navigation…

机器人学 · 计算机科学 2022-08-23 Li Fan , Jianchang Liu

A robotic platform for mobile manipulation needs to satisfy two contradicting requirements for many real-world applications: A compact base is required to navigate through cluttered indoor environments, while the support needs to be large…

Soft robots have demonstrated superior flexibility and functionality than conventional rigid robots. These versatile devices can respond to a wide range of external stimuli (including light, magnetic field, heat, electric field, etc.), and…

机器人学 · 计算机科学 2024-01-23 Jiaqi Miao , Siqi Sun

Flexible robots have advantages over rigid robots in their ability to conform physically to their environment and to form a wide variety of shapes. Sensing the force applied by or to flexible robots is useful for both navigation and…

机器人学 · 计算机科学 2023-07-27 Michael R. Mitchell , Ciera McFarland , Margaret M. Coad

Bionic underwater robots have demonstrated their superiority in many applications. Yet, training their intelligence for a variety of tasks that mimic the behavior of underwater creatures poses a number of challenges in practice, mainly due…

机器人学 · 计算机科学 2022-06-06 Wenji Liu , Kai Bai , Xuming He , Shuran Song , Changxi Zheng , Xiaopei Liu

There are many spaces inaccessible to humans where robots could help deliver sensors and equipment. Many of these spaces contain three-dimensional passageways and uneven terrain that pose challenges for robot design and control. Everting…

机器人学 · 计算机科学 2022-09-19 Nelson G. Badillo Perez , Margaret M. Coad

The development of versatile robots capable of traversing challenging and irregular environments is of increasing interest in the field of robotics, and metameric robots have been identified as a promising solution due to their slender,…

机器人学 · 计算机科学 2023-03-22 Qinyan Zhou , Hongbin Fang , Zhihai Bi , Jian Xu

Autonomous robots can transform how we observe marine ecosystems, but close-range operation in reefs and other cluttered habitats remains difficult. Vehicles must maneuver safely near animals and fragile structures while coping with…

机器人学 · 计算机科学 2026-02-26 Zach J. Patterson , Emily Sologuren , Levi Cai , Daniel Kim , Alaa Maalouf , Pascal Spino , Daniela Rus

Pipelines, vital for fluid transport, pose an important yet challenging inspection task, particularly in small, flexible biological systems, that robots have yet to master. In this study, we explored the development of an innovative robot…

Climbing soft robots are of tremendous interest in both science and engineering due to their potential applications in intelligent surveillance, inspection, maintenance, and detection under environments away from the ground. The challenge…

应用物理 · 物理学 2019-02-07 Yichao Tang , Qiuting Zhang , Gaojian Lin , Jie Yin

This paper presents a novel morphing quadrotor, named MorphoCopter, covering its design, modeling, control, and experimental tests. It features a unique single rotary joint that enables rapid transformation into an ultra-narrow profile.…

机器人学 · 计算机科学 2026-01-05 Harsh Modi , Hao Su , Xiao Liang , Minghui Zheng

Accurate and adaptive dynamic models are critical for underwater vehicle-manipulator systems where hydrodynamic effects induce time-varying parameters. This paper introduces a novel uncertainty-aware adaptive dynamics model framework that…

机器人学 · 计算机科学 2026-03-09 Edward Morgan , Nenyi K Dadson , Corina Barbalata

Birds in nature perform perching not only for rest but also for interaction with human such as the relationship with falconers. Recently, researchers achieve perching-capable aerial robots as a way to save energy, and deformable structure…

There is a growing need for robots that can change their shape, size and mechanical properties to adapt to evolving tasks and environments. However, current shape-changing systems generally utilize bespoke, system-specific mechanisms that…

机器人学 · 计算机科学 2026-04-24 Niklas Hagemann , Daniela Rus

Soft robots achieve functionality through tight coupling among geometry, material composition, and actuation. As a result, effective design optimization requires these three aspects to be considered jointly rather than in isolation. This…

机器人学 · 计算机科学 2026-03-09 Vittorio Candiello , Manuel Mekkattu , Mike Y. Michelis , Robert K. Katzschmann

The concept of aerial-aquatic robots has emerged as an innovative solution that can operate both in the air and underwater. Previous research on the design of such robots has been mainly focused on mature technologies such as fixed-wing and…

机器人学 · 计算机科学 2023-04-11 Xiao Xiong , Xinyu Zhang , Huanhao Huang , Kangyao Huang

Adaptive control can address model uncertainty in control systems. However, it is preliminarily designed for tracking control. Recent advancements in the control of quadruped robots show that force control can effectively realize agile and…

机器人学 · 计算机科学 2021-12-16 Mohsen Sombolestan , Yiyu Chen , Quan Nguyen

Many animals, modern aircraft, and underwater vehicles use streamlined body shapes that reduce fluid dynamic drag to achieve fast and effective locomotion in air and water. Similarly, numerous small terrestrial animals move through…

生物物理 · 物理学 2025-09-16 Chen Li , Andrew O. Pullin , Duncan W. Haldane , Han K. Lam , Ronald S. Fearing , Robert J. Full