English
Related papers

Related papers: Safe Balancing Control of a Soft Legged Robot

200 papers

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…

Robotics · Computer Science 2023-09-06 Cosimo Della Santina , Dominic Lakatos , Antonio Bicchi , Alin Albu-Schäffer

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

The task of self-balancing is one of the most important tasks when developing humanoid robots. This paper proposes a novel external balance mechanism for humanoid robot to maintain sideway balance. First, a dynamic model of the humanoid…

Robotics · Computer Science 2021-07-27 Tri Duc Tran , Anh Khoa Lanh Luu , Van Tu Duong , Huy Hung Nguyen , Tan Tien Nguyen

Advanced machine learning algorithms require platforms that are extremely robust and equipped with rich sensory feedback to handle extensive trial-and-error learning without relying on strong inductive biases. Traditional robotic designs,…

Safety concerns during the operation of legged robots must be addressed to enable their widespread use. Machine learning-based control methods that use model-based constraints provide promising means to improve robot safety. This study…

Robotics · Computer Science 2023-03-07 Berk Tosun , Evren Samur

Humanoid robots deployed in industrial environments are required to perform load-carrying transportation tasks that tightly couple locomotion and manipulation. However, achieving stable and robust locomotion under varying payloads and…

Robotics · Computer Science 2026-03-17 Lequn Fu , Yijun Zhong , Xiao Li , Yibin Liu , Zhiyuan Xu , Jian Tang , Shiqi Li

Haptic upper limb exoskeletons are robots that assist human operators during task execution while having the ability to render virtual or remote environments. Therefore, the stability of such robots in physical human-robot-environment…

Robotics · Computer Science 2023-08-10 Mahdi Hejrati , Jouni Mattila

Adaptive morphogenetic robots adapt their morphology and control policies to meet changing tasks and environmental conditions. Many such systems leverage soft components, which enable shape morphing but also introduce simulation and control…

This study deals with the balance of humanoid or multi-legged robots in a multi-contact setting where a chosen subset of contacts is undergoing desired sliding-task motions. One method to keep balance is to hold the center-of-mass (CoM)…

Robotics · Computer Science 2019-10-01 Saeid Samadi , Stéphane Caron , Arnaud Tanguy , Abderrahmane Kheddar

Continuum soft robots are mechanical systems entirely made of continuously deformable elements. This design solution aims to bring robots closer to invertebrate animals and soft appendices of vertebrate animals (e.g., an elephant's trunk, a…

Systems and Control · Electrical Eng. & Systems 2023-09-06 Cosimo Della Santina , Christian Duriez , Daniela Rus

Until recently, the concept of soft robot safety was an informal notion, often attributed solely to the fact that soft robots are less likely to damage their operating environment than rigid robots. As the field moves toward feedback…

Robotics · Computer Science 2025-09-30 Nicholas Pagliocca , Behrad Koohbor , Mitja Trkov

Legged locomotion enables robotic systems to traverse extremely challenging terrains. In many real-world scenarios, the terrain is not that difficult and these mixed terrain types introduce the need for flexible use of different walking…

Traditional robots have rigid links and structures that limit their ability to interact with the dynamics of their immediate environment. For example, conventional robot manipulators with rigid links can only manipulate objects using…

Robotics · Computer Science 2019-10-09 Gideon Gbenga Oladipupo

Humanoid robots may require a degree of compliance at the joint level for improving efficiency, shock tolerance, and safe interaction with humans. The presence of joint elasticity, however, complexifies the design of balancing and walking…

Optimization and Control · Mathematics 2017-03-07 Gabriele Nava , Daniele Pucci , Francesco Nori

Operating robots precisely and at high speeds has been a long-standing goal of robotics research. Balancing these competing demands is key to enabling the seamless collaboration of robots and humans and increasing task performance. However,…

Natural systems integrate the work of many sub-units (cells) toward a large-scale unified goal (morphological and behavioral), which can counteract the effects of unexpected experiences, damage, or simply changes in tasks demands. In this…

The ignition of flammable liquids and gases in offshore oil and gas environments is a major risk and can cause loss of life, serious injury, and significant damage to infrastructure. Power supplies that are used to provide regulated…

Robotics · Computer Science 2019-03-27 Stephen T. Mahon , Anthony Buchoux , Mohammed E. Sayed , Lijun Teng , Adam A. Stokes

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…

Computational Engineering, Finance, and Science · Computer Science 2024-07-15 Yuki Sato , Changyoung Yuhn , Hiroki Kobayashi , Atsushi Kawamoto , Tsuyoshi Nomura

Physical interaction between humans and robots can help robots learn to perform complex tasks. The robot arm gains information by observing how the human kinesthetically guides it throughout the task. While prior works focus on how the…

Soft robotic manipulators offer operational advantage due to their compliant and deformable structures. However, their inherently nonlinear dynamics presents substantial challenges. Traditional analytical methods often depend on simplifying…

Robotics · Computer Science 2024-10-28 Uljad Berdica , Matthew Jackson , Niccolò Enrico Veronese , Jakob Foerster , Perla Maiolino