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Faced with strong demand for robots working in underwater pipeline environments, a novel underwater multi-model locomotion robot is designed and studied in this research. By mimicking the earthworm's metameric body, the robot is segmented…

Robotics · Computer Science 2021-08-13 Hongbin Fang , Zihan He , Jian Xu

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…

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…

Attaining animal-like legged locomotion on rough outdoor terrain with sparse foothold affordances -a primary use-case for legs vs other forms of locomotion- is a largely open problem. New advancements in control and perception have enabled…

Robotics · Computer Science 2016-12-20 Dimitrios Kanoulas

Some animals exhibit multi-modal locomotion capability to traverse a wide range of terrains and environments, such as amphibians that can swim and walk or birds that can fly and walk. This capability is extremely beneficial for expanding…

Autonomous navigation in extreme mountainous terrains poses challenges due to the presence of mobility-stressing elements and undulating surfaces, making it particularly difficult compared to conventional off-road driving scenarios. In such…

Robotics · Computer Science 2024-04-16 Se-Wook Yoo , E In Son , Seung-Woo Seo

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…

This research proposes a novel morphing structure with shells inspired by the movement of pillbugs. Instead of the pillbug body, a loopcoupled mechanism based on slider-crank mechanisms is utilized to achieve the rolling up and spreading…

Robotics · Computer Science 2025-06-06 Jieyu Wang , Yingzhong Tian , Fengfeng Xi , Damien Chablat , Jianing Lin , Gaoke Ren , Yinjun Zhao

Achieving robust legged locomotion on complex terrains poses challenges due to the high uncertainty in robot-environment interactions. Recent advances in bipedal and quadrupedal robots demonstrate good mobility on rugged terrains but rely…

Robotics · Computer Science 2025-08-15 Juntao He , Baxi Chong , Jianfeng Lin , Zhaochen Xu , Hosain Bagheri , Esteban Flores , Daniel I. Goldman

Planetary exploration missions require robots capable of navigating extreme and unknown environments. While wheeled rovers have dominated past missions, their mobility is limited to traversable surfaces. Legged robots, especially…

Snake robots have the potential to maneuver through tightly packed and complex environments. One challenge in enabling them to do so is the complexity in determining how to coordinate their many degrees-of-freedom to create purposeful…

Robotics · Computer Science 2020-12-10 Tianyu Wang , Julian Whitman , Matthew Travers , Howie Choset

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…

Robotics · Computer Science 2025-10-30 Yusuke Tsunoda , Seiya Yamamoto , Kazuki Ito , Runze Xiao , Keisuke Naniwa , Koichi Osuka

Legged robots have the potential to leverage obstacles to climb steep sand slopes. However, efficiently repositioning these obstacles to desired locations is challenging. Here we present DiffusiveGRAIN, a learning-based method that enables…

Robotics · Computer Science 2025-05-20 Haodi Hu , Yue Wu , Feifei Qian , Daniel Seita

Robots operating in the real world will experience a range of different environments and tasks. It is essential for the robot to have the ability to adapt to its surroundings to work efficiently in changing conditions. Evolutionary robotics…

Robotics · Computer Science 2020-10-21 Tønnes F. Nygaard , Charles P. Martin , David Howard , Jim Torresen , Kyrre Glette

Snakes are a remarkable evolutionary success story. Many snake-inspired robots have been proposed over the years. Soft robotic snakes (SRS) with their continuous and smooth bending capability better mimic their biological counterparts'…

Robotics · Computer Science 2020-10-23 Dimuthu D. Arachchige , Yue Chen , Isuru S. Godage

Limbless organisms such as snakes can navigate nearly all terrain. In particular, desert-dwelling sidewinder rattlesnakes (Crotalus cerastes) operate effectively on inclined granular media (such as sand dunes) that induce failure in…

Ground robots require the crucial capability of traversing unstructured and unprepared terrains and avoiding obstacles to complete tasks in real-world robotics applications such as disaster response. When a robot operates in off-road field…

Robotics · Computer Science 2021-11-15 Sriram Siva , Maggie Wigness , John G. Rogers , Long Quang , Hao Zhang

Soft pneumatic legged robots show promise in their ability to traverse a range of different types of terrain, including natural unstructured terrain met in applications like precision agriculture. They can adapt their body morphology to the…

Robotics · Computer Science 2021-08-04 Zhichao Liu , Konstantinos Karydis

This paper introduces novel air actuated spherical robot called "RollRoller". The RollRoller robot consists of two essential parts: tubes covered with a shell as a frame and mechanical controlling parts to correspond movements. The…

Robotics · Computer Science 2016-10-20 Seyed Amir Tafrishi

Automated animal behavior analysis relies on long-term, interpretable individual trajectories; however, multi-animal tracking in space science experimental videos remains highly challenging due to weak appearance cues, low-quality imaging,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Jianing You , Han Wang , Kang Liu , Jiale Ding , Fengjie Chu , Zihan Guo , Shengyang Li