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Deformable substrates such as sand and mud present significant challenges for terrestrial robots due to complex robot-terrain interactions. Inspired by mudskippers, amphibious animals that naturally adjust their tail morphology and movement…

机器人学 · 计算机科学 2026-03-10 Shipeng Liu , Meghana Sagare , Shubham Patil , Feifei Qian

Multi-legged mobile robots possess high mobility performance in rough terrain environments, stemming from their high postural stability, joint flexibility, and the redundancy provided by multiple legs. In prior research on navigating…

机器人学 · 计算机科学 2025-10-30 Yusuke Tsunoda , Seiya Yamamoto , Kazuki Ito , Runze Xiao , Keisuke Naniwa , Koichi Osuka

Designing soft robots poses considerable challenges: automated design approaches may be particularly appealing in this field, as they promise to optimize complex multi-material machines with very little or no human intervention.…

人工智能 · 计算机科学 2017-11-20 Francesco Corucci , Nick Cheney , Francesco Giorgio-Serchi , Josh Bongard , Cecilia Laschi

Robotic spacecraft have helped expand our reach for many planetary exploration missions. Most ground mobile planetary exploration robots use wheeled or modified wheeled platforms. Although extraordinarily successful at completing intended…

机器人学 · 计算机科学 2025-09-29 Chen Li , Kevin Lewis

The ability to modify morphology in response to environmental changes represents a highly advantageous feature in biological organisms, facilitating their adaptation to diverse environmental conditions. While some robots have the capability…

机器人学 · 计算机科学 2023-09-20 Saurav Kumar Dutta , Yasemin Ozkan-Aydin

We present a methodology for fast prototyping of morphologies and controllers for robot locomotion. Going beyond simulation-based approaches, we argue that the form and function of a robot, as well as their interplay with real-world…

机器人学 · 计算机科学 2017-06-08 Kevin Sebastian Luck , Joseph Campbell , Michael Andrew Jansen , Daniel M. Aukes , Heni Ben Amor

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…

Many organisms, including various species of spiders and caterpillars, change their shape to switch gaits and adapt to different environments. Recent technological advances, ranging from stretchable circuits to highly deformable soft…

Autonomous robots can transform how we observe marine ecosystems, but close-range operation in reefs and other cluttered habitats remains difficult. Vehicles must maneuver safely near animals and fragile structures while coping with…

机器人学 · 计算机科学 2026-02-26 Zach J. Patterson , Emily Sologuren , Levi Cai , Daniel Kim , Alaa Maalouf , Pascal Spino , Daniela Rus

Many animals, modern aircraft, and underwater vehicles use streamlined body shapes that reduce fluid dynamic drag to achieve fast and effective locomotion in air and water. Similarly, numerous small terrestrial animals move through…

生物物理 · 物理学 2025-09-16 Chen Li , Andrew O. Pullin , Duncan W. Haldane , Han K. Lam , Ronald S. Fearing , Robert J. Full

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow…

神经与进化计算 · 计算机科学 2016-08-08 Sakyasingha Dasgupta , Dennis Goldschmidt , Florentin Wörgötter , Poramate Manoonpong

Humanoid robots, as general-purpose physical agents, must integrate both intelligent control and adaptive morphology to operate effectively in diverse real-world environments. While recent research has focused primarily on optimizing…

机器人学 · 计算机科学 2025-10-06 Guiliang Liu , Bo Yue , Yi Jin Kim , Kui Jia

Soft materials have many important roles in animal locomotion and object manipulation. In robotic applications soft materials can store and release energy, absorb impacts, increase compliance and increase the range of possible shape…

机器人学 · 计算机科学 2015-09-28 Vishesh Vikas , Paul Templeton , Barry Trimmer

Amphibious legged robots inspired by salamanders are promising in applications in complex amphibious environments. However, despite the significant success of training controllers that achieve diverse locomotion behaviors in conventional…

机器人学 · 计算机科学 2026-03-18 Mengze Tian , Qiyuan Fu , Chuanfang Ning , Javier Jia Jie Pey , Auke Ijspeert

The development of versatile robots capable of traversing challenging and irregular environments is of increasing interest in the field of robotics, and metameric robots have been identified as a promising solution due to their slender,…

机器人学 · 计算机科学 2023-03-22 Qinyan Zhou , Hongbin Fang , Zhihai Bi , Jian Xu

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

Developing a framework for the locomotion of a six-legged robot or a hexapod is a complex task that has extensive hardware and computational requirements. In this paper, we present a bio-inspired framework for the locomotion of a hexapod.…

机器人学 · 计算机科学 2021-07-28 Advait Lonkar , Sarthak Khoche , Shrisha Rao

Quadrupedal robots resemble the physical ability of legged animals to walk through unstructured terrains. However, designing a controller for quadrupedal robots poses a significant challenge due to their functional complexity and requires…

机器人学 · 计算机科学 2023-03-06 I Made Aswin Nahrendra , Byeongho Yu , Hyun Myung

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…

Embodiment is a significant keyword in recent machine learning fields. This study focused on the passive nature of the body of a biped robot to generate walking and running locomotion using model-based deep reinforcement learning. We…

机器人学 · 计算机科学 2026-04-17 Tomoya Kamimura , Haruka Washiyama , Akihito Sano
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