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Single locomotion robots often struggle to adapt in highly variable or uncertain environments, especially in emergencies. In this paper, a multi-modal deformable robot is introduced that can both fly and drive. Compatibility issues with…

Robotics · Computer Science 2023-02-14 Xinyu Zhang , Yuanhao Huang , Kangyao Huang , Xiaoyu Wang , Dafeng Jin , Huaping Liu , Jun Li

Robot multimodal locomotion encompasses the ability to transition between walking and flying, representing a significant challenge in robotics. This work presents an approach that enables automatic smooth transitions between legged and…

Mobile robots, especially those driving outdoors and in unstructured terrain, sometimes suffer from failures and errors in locomotion, like unevenly pressurized or flat tires, loose axes or de-tracked tracks. Those are errors that go…

Robotics · Computer Science 2020-05-12 Xiaoling Long , Sören Schwertfeger

Animals, such as birds, widely use multi-modal locomotion by combining legged and aerial mobility with dominant inertial effects. The robotic biomimicry of this multi-modal locomotion feat can yield ultra-flexible systems in terms of their…

There have been several successful implementations of bio-inspired legged robots that can trot, walk, and hop robustly even in the presence of significant unplanned disturbances. Despite all of these accomplishments, practical control and…

Robotics · Computer Science 2022-05-16 Eric Sihite , Benjamin Mottis , Paul Ghanem , Alireza Ramezani , Morteza Gharib

This paper discusses developments for a multi-limb morphogenetic UAV, MorphoGear, that is capable of both aerial flight and ground locomotion. A hybrid path planning algorithm based on the A* strategy has been developed, enabling seamless…

If robots are to become ubiquitous, they will need to be able to adapt to complex and dynamic environments. Robots that can adapt their bodies while deployed might be flexible and robust enough to meet this challenge. Previous work on…

Robotics · Computer Science 2019-07-24 Tønnes F. Nygaard , Charles P. Martin , Jim Torresen , Kyrre Glette

Most birds can navigate seamlessly between aerial and terrestrial environments. Whereas the forelimbs evolved into wings primarily for flight, the hindlimbs serve diverse functions such as walking, hopping, and leaping, and jumping take-off…

Robotics · Computer Science 2024-12-06 Won Dong Shin , Hoang-Vu Phan , Monica A. Daley , Auke J. Ijspeert , Dario Floreano

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…

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…

Robotics · Computer Science 2023-09-20 Saurav Kumar Dutta , Yasemin Ozkan-Aydin

Multi-modal robots expand their operations from one working medium to another, land to air for example. The majorities of multi-modal robots mainly refer to platforms that operate in two different media. However, for all-terrain tasks,…

Robotics · Computer Science 2023-09-25 Shiqi Yang , Kaiwen Xue , Minen Lv , Yingtai Xu , Jingyi Yang , Yiying Lu , Chongfeng Liu , Huihuan Qian

Locomotion for legged robots poses considerable challenges when confronted by obstacles and adverse environments. Footstep planners are typically only designed for one mode of locomotion, but traversing unfavorable environments may require…

Robotics · Computer Science 2016-08-15 Michael X. Grey , Aaron D. Ames , C. Karen Liu

Multimodal locomotion is crucial for an animal's adaptability in unstructured wild environments. Similarly, in the human gastrointestinal tract, characterized by viscoelastic mucus, complex rugae, and narrow sphincters like the cardia,…

Robotics · Computer Science 2026-03-31 Zhihao Lv , Xiaoyong Zhang , Mengfan Zhang , Xiaoyu Song , Xingyue Liu , Yide Liu , Shaoxing Qu , Guoyong Mao

Humanoids are versatile robotic platforms owing to their limbs with multiple degrees of freedom. Although humanoids can walk like humans, they are relatively slow, and cannot run over large barriers. To address these limitations, we aim to…

Robotics · Computer Science 2024-03-12 Kazuki Sugihara , Moju Zhao , Takuzumi Nishio , Tasuku Makabe , Kei Okada , Masayuki Inaba

As mobile robots become useful performing everyday tasks in complex real-world environments, they must be able to traverse a range of difficult terrain types such as stairs, stepping stones, gaps, jumps and narrow passages. This work…

Robotics · Computer Science 2023-03-06 Brendan Tidd

This thesis enhances the autonomy of the M4 (Multi-Modal Mobility Morphobot) robot, designed for Mars and rescue missions. The research enables the robot to autonomously select its locomotion mode and path in complex terrains. Focusing on…

Robotics · Computer Science 2023-08-29 Rohit Hiraman Rajput

Legged robots have the potential to traverse complex terrain and access confined spaces beyond the reach of traditional platforms thanks to their ability to carefully select footholds and flexibly adapt their body posture while walking.…

Robotics · Computer Science 2024-03-04 Takahiro Miki , Joonho Lee , Lorenz Wellhausen , Marco Hutter

Locomotion for legged robots poses considerable challenges when confronted by obstacles and adverse environments. Footstep planners are typically only designed for one mode of locomotion, but traversing unfavorable environments may require…

Robotics · Computer Science 2016-10-05 Michael X. Grey , C. Karen Liu , Aaron D. Ames

An innovative sort of mobility platform that can both drive and fly is the air-ground robot. The need for an agile flight cannot be satisfied by traditional path planning techniques for air-ground robots. Prior studies had mostly focused on…

Robotics · Computer Science 2023-05-16 Xiaoyu Wang , Kangyao Huang , Xinyu Zhang , Honglin Sun , Wenzhuo Liu , Huaping Liu , Jun Li , Pingping Lu

Obstacle avoidance and path planning are essential for guiding unmanned ground vehicles (UGVs) through environments that are densely populated with dynamic obstacles. This paper develops a novel approach that combines tangentbased path…

Robotics · Computer Science 2025-11-12 Okan Arif Guvenkaya , Selim Ahmet Iz , Mustafa Unel
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