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Legged robots, particularly quadrupeds, excel at navigating rough terrains, yet their performance under vertical ground perturbations, such as those from oscillating surfaces, remains underexplored. This study introduces a novel approach to…

Balancing oneself using the spine is a physiological alignment of the body posture in the most efficient manner by the muscular forces for mammals. For this reason, we can see many disabled quadruped animals can still stand or walk even…

机器人学 · 计算机科学 2024-03-05 Yuhong Huang , Zhenshan Bing , Zitao Zhang , Genghang Zhuang , Kai Huang , Alois Knoll

A safety-critical measure of legged locomotion performance is a robot's ability to track its desired time-varying position trajectory in an environment, which is herein termed as "global-position tracking". This paper introduces a nonlinear…

机器人学 · 计算机科学 2021-08-10 Yan Gu , Yuan Gao , Bin Yao , C. S. George Lee

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…

Gait disabilities are among the most frequent worldwide. Their treatment relies on rehabilitation therapies, in which smart walkers are being introduced to empower the user's recovery and autonomy, while reducing the clinicians effort. For…

计算机视觉与模式识别 · 计算机科学 2023-05-22 Carolina Gonçalves , João M. Lopes , Sara Moccia , Daniele Berardini , Lucia Migliorelli , Cristina P. Santos

Achieving highly dynamic behaviors on humanoid robots, such as running, requires controllers that are both robust and precise, and hence difficult to design. Classical control methods offer valuable insight into how such systems can…

机器人学 · 计算机科学 2025-09-25 Zachary Olkin , Kejun Li , William D. Compton , Aaron D. Ames

Legged rovers provide enhanced mobility compared to wheeled platforms, enabling navigation on steep and irregular planetary terrains. However, traditional legged locomotion might be energetically inefficient and potentially dangerous to the…

Contact-based decision and planning methods are becoming increasingly important to endow higher levels of autonomy for legged robots. Formal synthesis methods derived from symbolic systems have great potential for reasoning about high-level…

机器人学 · 计算机科学 2022-01-04 Ye Zhao , Yinan Li , Luis Sentis , Ufuk Topcu , Jun Liu

Recent advancements in whole-body control through deep reinforcement learning have enabled humanoid robots to achieve remarkable progress in real-world chal lenging locomotion skills. However, existing approaches often struggle with…

机器人学 · 计算机科学 2026-04-17 Yuen-Fui Lau , Qihan Zhao , Yinhuai Wang , Runyi Yu , Hok Wai Tsui , Qifeng Chen , Ping Tan

As perception-based controllers for autonomous systems become increasingly popular in the real world, it is important that we can formally verify their safety and performance despite perceptual uncertainty. Unfortunately, the verification…

机器人学 · 计算机科学 2026-04-16 Albert Lin , Alessandro Pinto , Somil Bansal

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

Humanoid robots have demonstrated robust locomotion capabilities using Reinforcement Learning (RL)-based approaches. Further, to obtain human-like behaviors, existing methods integrate human motion-tracking or motion prior in the RL…

机器人学 · 计算机科学 2025-06-13 Dewei Wang , Xinmiao Wang , Xinzhe Liu , Jiyuan Shi , Yingnan Zhao , Chenjia Bai , Xuelong Li

Modern two and four legged robots exhibit impressive mobility on complex terrain, largely attributed to advancement in learning algorithms. However, these systems often rely on high-bandwidth sensing and onboard computation to…

Some of the most challenging environments on our planet are accessible to quadrupedal animals but remain out of reach for autonomous machines. Legged locomotion can dramatically expand the operational domains of robotics. However,…

机器人学 · 计算机科学 2020-10-23 Joonho Lee , Jemin Hwangbo , Lorenz Wellhausen , Vladlen Koltun , Marco Hutter

Hybrid track/wheel-legged robots combine the advantages of wheel-based and leg-based locomotion, granting adaptability across varied terrains through efficient transitions between rolling and walking modes. However, automating these…

机器人学 · 计算机科学 2024-04-04 Jie Wang , Krispin Davies

Impact mitigation is crucial to the stable locomotion of legged robots, especially in high-speed dynamic locomotion. This paper presents a leg locomotion system including the nonlinear active compliance control and the active impedance…

机器人学 · 计算机科学 2021-08-04 Junjie Yang , Hao sun , Hao An , Changhong Wang

With the recent surge of interest in introducing autonomous vehicles to the everyday lives of people, developing accurate and generalizable algorithms for predicting human behavior becomes highly crucial. Moreover, many of these emerging…

系统与控制 · 计算机科学 2019-03-20 Jennifer Shih

Navigating rugged landscapes poses significant challenges for legged locomotion. Multi-legged robots (those with 6 and greater) offer a promising solution for such terrains, largely due to their inherent high static stability, resulting…

机器人学 · 计算机科学 2024-09-17 Juntao He , Baxi Chong , Zhaochen Xu , Sehoon Ha , Daniel I. Goldman

We address the challenge of effectively controlling the locomotion of legged robots by incorporating precise frequency and phase characteristics, which is often ignored in locomotion policies that do not account for the periodic nature of…

机器人学 · 计算机科学 2025-03-07 Taixian Hou , Yueqi Zhang , Xiaoyi Wei , Zhiyan Dong , Jiafu Yi , Peng Zhai , Lihua Zhang

Gait asymmetry, a consequence of various neurological or physical conditions such as aging and stroke, detrimentally impacts bipedal locomotion, causing biomechanical alterations, increasing the risk of falls and reducing quality of life.…

机器人学 · 计算机科学 2025-02-07 Mahdi Chalaki , Abed Soleymani , Xingyu Li , Vivian Mushahwar , Mahdi Tavakoli