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Climbing Robots are being developed for applications ranging from cleaning to the inspection of difficult to reach constructions. Climbing robots should be capable of carrying a light payload and climbing on vertical surfaces with ability…

Robotics · Computer Science 2023-01-18 Hafiz Muhammad Bilal

We present a reinforcement learning framework for quadrupedal wall-climbing locomotion that explicitly addresses uncertainty in magnetic foot adhesion. A physics-based adhesion model of a quadrupedal magnetic climbing robot is incorporated…

Robotics · Computer Science 2025-10-24 Yong Um , Young-Ha Shin , Joon-Ha Kim , Soonpyo Kwon , Hae-Won Park

Soft robotics has emerged as a promising technology that holds great potential for various application areas. This is due to soft materials unique properties, including flexibility, safety, and shock absorption, among others. Despite many…

Robotics · Computer Science 2024-08-12 Andrija Milojevic , Kyrre Glette

Magnetic adhesion tracked wall-climbing robots face potential risks of overturning during high-altitude operations, making their stability crucial for ensuring safety. This study presents a dynamic feature selection method based on Proximal…

Robotics · Computer Science 2025-03-25 Zhen Ma , He Xu , Jielong Dou , Yi Qin , Xueyu Zhang

Humanoid robots are machines built with an anthropomorphic shape. Despite decades of research into the subject, it is still challenging to tackle the robot locomotion problem from an algorithmic point of view. For example, these machines…

Robotics · Computer Science 2020-04-28 Stefano Dafarra

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…

Robotics · Computer Science 2024-04-04 Jie Wang , Krispin Davies

Robots "in-the-wild" encounter and must traverse widely varying terrain, ranging from solid ground to granular materials like sand to full liquids. Numerous approaches exist, including wheeled and legged robots, each excelling in specific…

Locomotion on granular slopes such as sand dunes remains a fundamental challenge for legged robots due to reduced shear strength and gravity-induced anisotropic yielding of granular media. Using a hexapedal robot on a tiltable granular bed,…

Robotics · Computer Science 2026-04-06 Xingjue Liao , Feifei Qian

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…

Robotics · Computer Science 2025-06-09 Shipeng Liu , Jiaze Tang , Siyuan Meng , Feifei Qian

This paper explores the design strategies for hybrid pole- or trunk-climbing robots, focusing on methods to inform design decisions and assess metrics such as adaptability and performance. A wheeled-grasping hybrid robot with modular,…

Robotics · Computer Science 2025-03-11 Ryan Poon , Ian Hunter

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.…

Artificial Intelligence · Computer Science 2017-11-20 Francesco Corucci , Nick Cheney , Francesco Giorgio-Serchi , Josh Bongard , Cecilia Laschi

Legged robots face significant challenges in moving and navigating on deformable and highly yielding terrain such as mud. We present a resistive force model for legged foot-mud interactions. The model captures rheological behaviors such as…

Robotics · Computer Science 2026-04-15 Xunjie Chen , Liuyin Wang , Xinyan Huang , Jerry Shan , Yantao Shen , Jingang Yi

Amphibious robots, operating seamlessly across land and water, are advancing applications in conservation, disaster response, and defense. Their performance depends on locomotion mechanisms, actuation technologies, and sensor-control…

Robotics · Computer Science 2026-02-24 Yi Jin , Chang Liu , Roger D. Quinn , Robert J. Wood , C. Chase Cao

Legged locomotion holds the premise of universal mobility, a critical capability for many real-world robotic applications. Both model-based and learning-based approaches have advanced the field of legged locomotion in the past three…

Robotics · Computer Science 2024-11-26 Sehoon Ha , Joonho Lee , Michiel van de Panne , Zhaoming Xie , Wenhao Yu , Majid Khadiv

Legged robots are well-suited for broad exploration tasks in complex environments with yielding terrain. Understanding robotic foot-terrain interactions is critical for safe locomotion and walking efficiency for legged robots. This paper…

Robotics · Computer Science 2024-03-06 Xunjie Chen , Jingang Yi , Jerry Shan

This study explores the dynamics of asymmetrical bounding gaits in quadrupedal robots, focusing on the integration of torso pitching and hip motion to enhance speed and stability. Traditional control strategies often enforce a fixed…

Robotics · Computer Science 2025-09-01 Jing Cheng , Yasser G. Alqaham , Zhenyu Gan

Robots built from soft materials can alter their shape and size in a particular profile. This shape-changing ability could be extremely helpful for rescue robots and those operating in unknown terrains and environments. In changing shape,…

Robotics · Computer Science 2016-05-13 Vishesh Vikas , Eliad Cohen , Rob Grassi , Canberk Sozer , Barry Trimmer

In recent years, miniature wall-climbing robots have attracted widespread attention due to their significant potential in equipment inspection and in-situ repair applications. Traditional wall-climbing systems typically rely on…

Robotics · Computer Science 2025-07-22 Siqian Li , Xi Wang , Jung-Che Chang , Xin Dong

Legged robots have demonstrated remarkable agility on rigid, stationary ground, but their locomotion reliability remains limited in non-inertial environments, where the supporting ground moves, tilts, or accelerates. Such conditions arise…

Robotics · Computer Science 2026-04-24 I-Chia Chang , Xinyan Huang , Tzu-Yuan Lin , Sangli Teng , Wenjing Li , Maani Ghaffari , Jingang Yi , Yan Gu

This paper proposes a safety-critical locomotion control framework employed for legged robots exploring through infeasible path in obstacle-rich environments. Our research focus is on achieving safe and robust locomotion where robots…

Robotics · Computer Science 2024-09-17 Jaemin Lee , Min Dai , Jeeseop Kim , Aaron D. Ames
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