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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

Quadruped robots face limitations in long-range navigation efficiency due to their reliance on legs. To ameliorate the limitations, we introduce a Reinforcement Learning-based Active Transporter Riding method (\textit{RL-ATR}), inspired by…

机器人学 · 计算机科学 2026-02-10 Minsung Yoon , Sung-Eui Yoon

Climbing, crouching, bridging gaps, and walking up stairs are just a few of the advantages that quadruped robots have over wheeled robots, making them more suitable for navigating rough and unstructured terrain. However, executing such…

机器人学 · 计算机科学 2025-09-16 Guillaume Gagné-Labelle , Vassil Atanassov , Ioannis Havoutis

Snapping instabilities in soft structures offer a powerful pathway to achieve rapid and energy-efficient actuation. In this study, an eccentric dome-shaped snapping actuator is developed to generate controllable asymmetric motion through…

机器人学 · 计算机科学 2026-02-23 Xin Li , Ye Jin , Mohsen Jafarpour , Hugo de Souza Oliveira , Edoardo Milana

While the animals' Fin-to-Limb evolution has been well-researched in biology, such morphological transformation remains under-adopted in the modern design of advanced robotic limbs. This paper investigates a novel class of overconstrained…

This paper presents three feedback controllers that achieve an asymptotically stable, periodic, and fast walking gait for a 3D (spatial) bipedal robot consisting of a torso, two legs, and passive (unactuated) point feet. The contact between…

机器人学 · 计算机科学 2010-02-18 Christine Chevallereau , Jessy W. Grizzle , Ching-Long Shih

Passive elastic elements can contribute to stability, energetic efficiency, and impact absorption in both biological and robotic systems. They also add dynamical complexity which makes them more challenging to model and control. The impact…

机器人学 · 计算机科学 2019-09-30 Ali Marjaninejad , Jie Tan , Francisco J. Valero-Cuevas

For the deployment of legged robots in real-world environments, it is essential to develop robust locomotion control methods for challenging terrains that may exhibit unexpected deformability and irregularity. In this paper, we explore the…

机器人学 · 计算机科学 2025-04-21 Rohan P. Singh , Mitsuharu Morisawa , Mehdi Benallegue , Zhaoming Xie , Fumio Kanehiro

The ability to recover from an unexpected external perturbation is a fundamental motor skill in bipedal locomotion. An effective response includes the ability to not just recover balance and maintain stability but also to fall in a safe…

机器人学 · 计算机科学 2022-01-06 Visak Kumar

Motion planning is a crucial aspect of robot autonomy as it involves identifying a feasible motion path to a destination while taking into consideration various constraints, such as input, safety, and performance constraints, without…

机器人学 · 计算机科学 2023-06-14 Dengyu Zhang , Guobin Zhu , Qingrui Zhang

Quadrupedal animals can perform agile and playful tasks while interacting with real-world objects. For instance, a trained dog can track and catch a flying frisbee before it touches the ground, while a cat left alone at home may leap to…

机器人学 · 计算机科学 2025-03-19 Xin Duan , Ziwen Zhuang , Hang Zhao , Soeren Schwertfeger

Sprawling locomotion in vertebrates, particularly salamanders, demonstrates how body undulation and spinal mobility enhance stability, maneuverability, and adaptability across complex terrains. While prior work has separately explored…

Legged robot research is presently focused on bipedal or quadrupedal robots, despite capabilities to build robots with many more legs to potentially improve locomotion performance. This imbalance is not necessarily due to hardware…

In nature, legged animals have developed the ability to adapt to challenging terrains through perception, allowing them to plan safe body and foot trajectories in advance, which leads to safe and energy-efficient locomotion. Inspired by…

机器人学 · 计算机科学 2023-10-12 Haojie Shi , Qingxu Zhu , Lei Han , Wanchao Chi , Tingguang Li , Max Q. -H. Meng

Swing arms have an irreplaceable role in promoting highly dynamic locomotion on bipedal robots by a larger angular momentum control space from the viewpoint of biomechanics. Few bipedal robots utilize swing arms and its redundancy…

机器人学 · 计算机科学 2022-08-18 Weijie Wang , Song Liu , Qinfeng Shan , Lihao Jia

Cheetahs are characterized by large spinal flexion and extension during high-speed running, yet the dynamical role of the phase relationship between spinal motion and limb support remains unclear. We aimed to clarify how this phase…

系统与控制 · 电气工程与系统科学 2026-04-02 Tomoya Kamimura , Yuya Oshita , Mau Adachi , Yuichi Ambe , Akihito Sano , Naomi Wada , Fumitoshi Matsuno , Shinya Aoi

Numerous locomotion controllers have been designed based on Reinforcement Learning (RL) to facilitate blind quadrupedal locomotion traversing challenging terrains. Nevertheless, locomotion control is still a challenging task for quadruped…

机器人学 · 计算机科学 2024-07-08 Zhiyuan Xiao , Xinyu Zhang , Xiang Zhou , Qingrui Zhang

Hybrid systems theory has become a powerful approach for designing feedback controllers that achieve dynamically stable bipedal locomotion, both formally and in practice. This paper presents an analytical framework 1) to address…

最优化与控制 · 数学 2018-10-17 Kaveh Akbari Hamed , Wen-Loong , Aaron D. Ames

Real time calculation of inverse kinematics (IK) with dynamically stable configuration is of high necessity in humanoid robots as they are highly susceptible to lose balance. This paper proposes a methodology to generate joint-space…

机器人学 · 计算机科学 2018-02-01 S Phaniteja , Parijat Dewangan , Pooja Guhan , Abhishek Sarkar , K Madhava Krishna

This paper introduces a simulation study of fluid actuated multi-driven closed system as spherical mobile robot called "RollRoller". Robot's mechanism design consists of two essential parts: tubes to lead a core and mechanical controlling…

机器人学 · 计算机科学 2016-10-21 Seyed Amir Tafrishi , Sandor M. Veres , Esmaeil Esmaeilzadeh , Mikhail Svinin