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Under-actuated compliant robotic systems offer a promising approach to mitigating actuation and control challenges by harnessing pre-designed, embodied dynamic behaviors. This paper presents Flix-Walker, a novel, untethered,…

Robotics · Computer Science 2025-07-04 Yuhao Jiang , Fuchen Chen , Jamie Paik , Daniel M. Aukes

Robots are becoming increasingly essential for traversing complex environments such as disaster areas, extraterrestrial terrains, and marine environments. Yet, their potential is often limited by mobility and adaptability constraints. In…

Robotics · Computer Science 2025-03-10 Nnamdi Chikere , John McElroy , Yasemin Ozkan-Aydin

Flapping-wing robots offer significant versatility; however, achieving efficient multi-modal locomotion remains challenging. This paper presents the design, modeling, and experimentation of a novel tailless flapping-wing robot with three…

Robotics · Computer Science 2025-06-19 Zhi Zheng , Xiangyu Xu , Jin Wang , Yikai Chen , Jingyang Huang , Ruixin Wu , Huan Yu , Guodong Lu

In this letter, we present a novel bi-modal bi-copter robot called Skater, which is adaptable to air and various ground surfaces. Skater consists of a bi-copter moving along its longitudinal direction with two passive wheels on both sides.…

Robotics · Computer Science 2024-05-28 Junxiao Lin , Ruibin Zhang , Neng Pan , Chao Xu , Fei Gao

This paper introduces SCALER, a quadrupedal robot that demonstrates climbing on bouldering walls, overhangs, ceilings and trotting on the ground. SCALER is one of the first high-degrees of freedom four-limbed robots that can free-climb…

Animals run robustly in diverse terrain. This locomotion robustness is puzzling because axon conduction velocity is limited to a few ten meters per second. If reflex loops deliver sensory information with significant delays, one would…

Robotics · Computer Science 2022-12-02 An Mo , Fabio Izzi , Emre Cemal Gönen , Daniel Haeufle , Alexander Badri-Spröwitz

Legged locomotion is a highly promising but under-researched subfield within the field of soft robotics. The compliant limbs of soft-limbed robots offer numerous benefits, including the ability to regulate impacts, tolerate falls, and…

The complexities in the dynamic model of the legged robots make it necessary to utilize model-free controllers in the task of trajectory tracking. In This paper, an adaptive transpose Jacobian approach is proposed to deal with the dynamic…

Robotics · Computer Science 2025-04-15 Hossein Shojaei , Hamid Rahmanei , Seyed Hossein Sadati

In this paper, we propose a novel design of an electrically actuated robotic leg, called the DecARt (Decoupled Actuation Robot) Leg, aimed at performing agile locomotion. This design incorporates several new features, such as the use of a…

Robotics · Computer Science 2025-11-14 Egor Davydenko , Andrei Volchenkov , Vladimir Gerasimov , Roman Gorbachev

In lunar and planetary exploration, legged robots have attracted significant attention as an alternative to conventional wheeled robots, which struggle to traverse rough and uneven terrain. To enable locomotion over highly irregular and…

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

We present an open-source untethered quadrupedal soft robot platform for dynamic locomotion (e.g., high-speed running and backflipping). The robot is mostly soft (80 vol.%) while driven by four geared servo motors. The robot's soft body and…

Robotics · Computer Science 2025-03-17 Boxi Xia , Jiaming Fu , Hongbo Zhu , Zhicheng Song , Yibo Jiang , Hod Lipson

Under-actuated robot grippers as a pervasive tool of robots have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suffer from poor versatility and weak adaptability, making…

Robotics · Computer Science 2024-03-20 Jihao Li , Tingbo Liao , Hassen Nigatu , Haotian Guo , Guodong Lu , Huixu Dong

This paper presents SCALER, a versatile free-climbing multi-limbed robot that is designed to achieve tightly coupled simultaneous locomotion and dexterous grasping. While existing quadrupedal-limbed robots have demonstrated impressive…

Robotics · Computer Science 2025-07-03 Yusuke Tanaka , Yuki Shirai , Alexander Schperberg , Xuan Lin , Dennis Hong

We introduce StaccaToe, a human-scale, electric motor-powered single-leg robot designed to rival the agility of human locomotion through two distinctive attributes: an actuated toe and a co-actuation configuration inspired by the human leg.…

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…

Robotics · Computer Science 2026-03-10 Shipeng Liu , Meghana Sagare , Shubham Patil , Feifei Qian

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…

Robotics · Computer Science 2023-03-06 I Made Aswin Nahrendra , Byeongho Yu , Hyun Myung

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

Although recent years have seen significant progress of humanoid robots in walking and running, the frequent foot strikes with ground during these locomotion gaits inevitably generate high instantaneous impact forces, which leads to…

Robotics · Computer Science 2026-02-13 Junchi Gu , Feiyang Yuan , Weize Shi , Tianchen Huang , Haopeng Zhang , Xiaohu Zhang , Yu Wang , Wei Gao , Shiwu Zhang

Legged robots need to be capable of walking on diverse terrain conditions. In this paper, we present a novel reinforcement learning framework for learning locomotion on non-rigid dynamic terrains. Specifically, our framework can generate…

Robotics · Computer Science 2021-07-08 Taehei Kim , Sung-Hee Lee
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