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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 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 robotics has advanced rapidly, yet its control methods remain fragmented: different morphologies and actuation schemes still require task-specific controllers, hindering theoretical integration and large-scale deployment. A generic…

Back injuries are the most prevalent work-related musculoskeletal disorders and represent a major cause of disability. Although innovations in wearable robots aim to alleviate this hazard, the majority of existing exoskeletons are obtrusive…

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 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…

软凝聚态物质 · 物理学 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

Robots and artificial machines have been captivating the public for centuries, depicted first as threats to humanity, then as subordinates and helpers. In the last decade, the booming exposure of humans to robots has fostered an increasing…

应用物理 · 物理学 2019-06-10 Hortense Le Ferrand

Robotic arms built from stiffness-adjustable, continuously bending segments serially connected with revolute joints have the ability to change their mechanical architecture and workspace, thus allowing high flexibility and adaptation to…

机器人学 · 计算机科学 2024-04-16 Angus B. Clark , Nicolas Rojas

Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while these rigid grippers are well suited for large and heavy…

机器人学 · 计算机科学 2022-10-31 Shaunak A. Mehta , Yeunhee Kim , Joshua Hoegerman , Michael D. Bartlett , Dylan P. Losey

Recently, many humanoid robots have been increasingly deployed in various facilities, including hospitals and assisted living environments, where they are often remotely controlled by human operators. Their kinematic redundancy enhances…

机器人学 · 计算机科学 2025-12-01 Nikita Boguslavskii , Lorena Maria Genua , Zhi Li

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional rigid grippers typically rely on increasing the normal forces to secure an object,…

This paper presents a design methodology of a hydraulically-driven soft robotic gripper for grasping a large and heavy object -- approximately 10 - 20 kg with 20 - 30 cm diameter. Most existing soft grippers are pneumatically actuated with…

机器人学 · 计算机科学 2026-01-15 Ko Yamamoto , Kyosuke Ishibashi , Hiroki Ishikawa , Osamu Azami

Biomimicry has played a pivotal role in robotics. In contrast to rigid robots, bio-inspired robots exhibit an inherent compliance, facilitating versatile movements and operations in constrained spaces. The robot implementation in…

机器人学 · 计算机科学 2024-10-08 Po-Yu Hsieh , June-Hao Hou

This work provides a complete framework for the simulation, co-optimization, and sim-to-real transfer of the design and control of soft legged robots. The compliance of soft robots provides a form of "mechanical intelligence" -- the ability…

机器人学 · 计算机科学 2022-02-10 Charles Schaff , Audrey Sedal , Matthew R. Walter

Sim-to-real transfer remains a significant challenge in soft robotics due to the unpredictability introduced by common manufacturing processes such as 3D printing and molding. These processes often result in deviations from simulated…

机器人学 · 计算机科学 2025-12-02 Pierluigi Mansueto , Mihai Dragusanu , Anjum Saeed , Monica Malvezzi , Matteo Lapucci , Gionata Salvietti

This paper introduces a Cosserat rod based mathematical model for modeling a self-controllable variable curvature soft continuum robot. This soft continuum robot has a hollow inner channel and was developed with the ability to perform…

机器人学 · 计算机科学 2024-06-28 Xinran Wang , Nicolas Rojas

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

Grasping is an essential capability for most robots in practical applications. Soft robotic grippers are considered as a critical part of robotic grasping and have attracted considerable attention in terms of the advantages of the high…

机器人学 · 计算机科学 2021-11-09 Huixu Dong , Chao-Yu Chen , Chen Qiu , Chen-Hua Yeow , Haoyong Yu

Inspired by the vertebrate branch of the animal kingdom, articulated soft robots are robotic systems embedding elastic elements into a classic rigid (skeleton-like) structure. Leveraging on their bodies elasticity, soft robots promise to…

机器人学 · 计算机科学 2023-09-06 Cosimo Della Santina , Dominic Lakatos , Antonio Bicchi , Alin Albu-Schäffer

The ocean vast unexplored regions and diverse soft-bodied marine organisms have spurred interest in bio-inspired underwater soft robotics. Recent advances have enabled new capabilities in underwater movement, sensing, and interaction.…

机器人学 · 计算机科学 2025-08-19 Lei Li , Boyang Qin , Wenzhuo Gao , Yanyu Li , Yiyuan Zhang , Bo Wang , Shihan Kong , Jian Wang , Dekui He , Junzhi Yu