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相关论文: A Foot Resistive Force Model for Legged Locomotion…

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Legged robots are well-suited for broad exploration tasks in complex environments with yielding terrain. Understanding robotic foot-terrain interactions is critical for safe locomotion and walking efficiency for legged robots. This paper…

机器人学 · 计算机科学 2024-03-06 Xunjie Chen , Jingang Yi , Jerry Shan

Legged robots have demonstrated high efficiency and effectiveness in unstructured and dynamic environments. However, it is still challenging for legged robots to achieve rapid and efficient locomotion on deformable, yielding substrates,…

机器人学 · 计算机科学 2024-03-07 Xunjie Chen , Aditya Anikode , Jingang Yi , Tao Liu

Compared to agile legged animals, wheeled and tracked vehicles often suffer large performance loss on granular surfaces like sand and gravel. Understanding the mechanics of legged locomotion on granular media can aid the development of…

生物物理 · 物理学 2019-11-04 Chen Li , Tingnan Zhang , Daniel I. Goldman

Robot feet are crucial for maintaining dynamic stability and propelling the body during walking, especially on uneven terrains. Traditionally, robot feet were mostly designed as flat and stiff pieces of metal, which meets its limitations…

机器人学 · 计算机科学 2024-06-13 Cristina Piazza , Cosimo Della Santina , Giorgio Grioli , Antonio Bicchi , Manuel G. Catalano

Muddy terrains present significant challenges for terrestrial robots, as subtle changes in composition and water content can lead to large variations in substrate strength and force responses, causing the robot to slip or get stuck. This…

机器人学 · 计算机科学 2025-06-09 Shipeng Liu , Jiaze Tang , Siyuan Meng , Feifei Qian

Agile-legged robots have proven to be highly effective in navigating and performing tasks in complex and challenging environments, including disaster zones and industrial settings. However, these applications normally require the capability…

机器人学 · 计算机科学 2024-04-09 Mohsen Sombolestan , Quan Nguyen

Most legged robots are built with leg structures from serially mounted links and actuators and are controlled through complex controllers and sensor feedback. In comparison, animals developed multi-segment legs, mechanical coupling between…

机器人学 · 计算机科学 2023-02-09 Abhishek Chatterjee , An Mo , Bernadett Kiss , Emre Cemal Gönen , Alexander Badri-Spröwitz

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…

Legged locomotion is a highly promising but under-researched subfield within the field of soft robotics. The compliant limbs of soft-limbed robots offer numerous benefits, including the ability to regulate impacts, tolerate falls, and…

Recently, reinforcement learning has become a promising and polular solution for robot legged locomotion. Compared to model-based control, reinforcement learning based controllers can achieve better robustness against uncertainties of…

机器人学 · 计算机科学 2023-10-09 Yikai Wang , Zheyuan Jiang , Jianyu Chen

Legged robots need to be capable of walking on diverse terrain conditions. In this paper, we present a novel reinforcement learning framework for learning locomotion on non-rigid dynamic terrains. Specifically, our framework can generate…

机器人学 · 计算机科学 2021-07-08 Taehei Kim , Sung-Hee Lee

Multi-legged robots with six or more legs are not in common use, despite designs with superior stability, maneuverability, and a low number of actuators being available for over 20 years. This may be in part due to the difficulty in…

机器人学 · 计算机科学 2024-01-05 Ziyou Wu , Dan Zhao , Shai Revzen

The heavy-load legged robot has strong load carrying capacity and can adapt to various unstructured terrains. But the large weight results in higher requirements for motion stability and environmental perception ability. In order to utilize…

机器人学 · 计算机科学 2025-07-31 Ze Fu , Yinghui Li , Weizhong Guo

The human foot serves as the critical interface between the body and environment during locomotion. Existing musculoskeletal models typically oversimplify foot-ground contact mechanics, limiting their ability to accurately simulate human…

机器人学 · 计算机科学 2025-08-19 Haixin Gong , Chen Zhang , Yanan Sui

Legged robots must exhibit robust and agile locomotion across diverse, unstructured terrains, a challenge exacerbated under blind locomotion settings where terrain information is unavailable. This work introduces a hierarchical…

机器人学 · 计算机科学 2025-11-05 Matheus P. Angarola , Francisco Affonso , Marcelo Becker

Much current study of legged locomotion has rightly focused on foot traction forces, including on granular media. Future legged millirobots will need to go through terrain, such as brush or other vegetation, where the body contact forces…

机器人学 · 计算机科学 2019-04-22 Can Koc , Cem Koc , Brian Su , Carlos Casarez , Ronald Fearing

Biped robots usually adopt feet with a rigid structure that simplifies walking on flat grounds and yet hinders ground adaptation in unstructured environments, thus jeopardizing stability. We recently explored in the SoftFoot the idea of…

机器人学 · 计算机科学 2026-04-28 Anna Pace , Giorgio Grioli , Alice Ghezzi , Antonio Bicchi , Manuel G. Catalano

Crawling is a common locomotion mechanism in soft robots and nonskeletal animals. In this work we propose modeling soft-robotic legged locomotion by approximating it with an equivalent articulated robot with elastic joints. For concreteness…

软凝聚态物质 · 物理学 2020-01-22 Benny Gamus , Lior Salem , Amir D. Gat , Yizhar Or

The theories of aero- and hydrodynamics predict animal movement and device design in air and water through the computation of lift, drag, and thrust forces. Although models of terrestrial legged locomotion have focused on interactions with…

生物物理 · 物理学 2019-11-04 Chen Li , Tingnan Zhang , Daniel I. Goldman

Quadruped robots are often designed with rigid feet to simplify control and maintain stable contact during locomotion. While this approach is straightforward, it limits the ability of the legs to absorb impact forces and reuse stored…

机器人学 · 计算机科学 2026-05-15 Pramod Pal , Shishir Kolathaya , Ashitava Ghosal
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