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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

As robotic agents increasingly assist humans in reality, quadruped robots offer unique opportunities for interaction in complex scenarios due to their agile movement. However, building agents that can autonomously navigate, adapt, and…

Robotics · Computer Science 2024-12-04 Yuting Mei , Ye Wang , Sipeng Zheng , Qin Jin

Legged robots promise higher versatility and the ability to traverse much more difficult terrains than their wheeled counterparts. Even though the use of legged robots have increased drastically in the last few years, they are still not…

Robotics · Computer Science 2021-05-25 Hilmar Elverhøy , Steinar Bøe , Vegard Søyseth , Tønnes Nygaard

Quadruped robots are proliferating in industrial environments where they carry sensor payloads and serve as autonomous inspection platforms. Despite the advantages of legged robots over their wheeled counterparts on rough and uneven…

Robotics · Computer Science 2025-07-23 Dylan Vogel , Robert Baines , Joseph Church , Julian Lotzer , Karl Werner , Marco Hutter

Incorporating effective tactile sensing and mechanical compliance is key towards enabling robust and safe operation of robots in unknown, uncertain and cluttered environments. Towards realizing this goal, we present a lightweight,…

Robotics · Computer Science 2019-04-05 Alex Alspach , Kunimatsu Hashimoto , Naveen Kuppuswamy , Russ Tedrake

Recent advances in quadrupedal robots have demonstrated impressive agility and the ability to traverse diverse terrains. However, hardware issues, such as motor overheating or joint locking, may occur during long-distance walking or…

Robotics · Computer Science 2025-02-11 Seunghyun Lee , I Made Aswin Nahrendra , Dongkyu Lee , Byeongho Yu , Minho Oh , Hyun Myung

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

Contact modeling plays a central role in motion planning, simulation, and control of legged robots, as legged locomotion is realized through contact. The two prevailing approaches to model the contact consider rigid and compliant premise at…

In this paper, with a view toward deployment of light-weight control frameworks for bipedal walking robots, we realize end-foot trajectories that are shaped by a single linear feedback policy. We learn this policy via a model-free and a…

This work tries to contribute to the design of legged robots with capabilities boosted through thruster-assisted locomotion. Our long-term goal is the development of robots capable of negotiating unstructured environments, including land…

Robotics · Computer Science 2020-06-09 Arthur C. B. de Oliveira , Alireza Ramezani

Much current study of legged locomotion has rightly focused on foot traction forces, including on granular media. Future legged millirobots will need to go through terrain, such as brush or other vegetation, where the body contact forces…

Robotics · Computer Science 2019-04-22 Can Koc , Cem Koc , Brian Su , Carlos Casarez , Ronald Fearing

Legged robots can outperform wheeled machines for most navigation tasks across unknown and rough terrains. For such tasks, visual feedback is a fundamental asset to provide robots with terrain-awareness. However, robust dynamic locomotion…

Little research into tactile feet has been done for walking robots despite the benefits such feedback could give when walking on uneven terrain. This paper describes the development of a simple, robust and inexpensive tactile foot for…

Robotics · Computer Science 2020-08-13 Elizabeth A. Stone , Nathan F. Lepora , David A. W. Barton

This work presents algorithms for the feedback-stabilised walking of bipedal humanoid robotic platforms, along with the underlying theoretical and sensorimotor frameworks required to achieve it. Bipedal walking is inherently complex and…

Robotics · Computer Science 2020-12-24 Philipp Allgeuer

Dynamic locomotion of legged robots is a critical yet challenging topic in expanding the operational range of mobile robots. It requires precise planning when possible footholds are sparse, robustness against uncertainties and disturbances,…

Robotics · Computer Science 2025-06-12 Junzhe He , Chong Zhang , Fabian Jenelten , Ruben Grandia , Moritz BÄcher , Marco Hutter

Animals locomote robustly and agile, albeit significant sensorimotor delays of their nervous system. The sensorimotor control of legged robots is implemented with much higher frequencies-often in the kilohertz range-and sensor and actuator…

Locomotion on dynamic rigid surface (i.e., rigid surface accelerating in an inertial frame) presents complex challenges for controller design, which are essential for deploying humanoid robots in dynamic real-world environments such as…

Robotics · Computer Science 2024-09-16 Yuan Gao , Victor Paredes , Yukai Gong , Zijian He , Ayonga Hereid , Yan Gu

Robust closed-loop locomotion remains challenging for soft quadruped robots due to high-dimensional dynamics, actuator hysteresis, and difficult-to-model contact interactions, while conventional proprioception provides limited information…

Robotics · Computer Science 2026-02-16 Storm de Kam , Ebrahim Shahabi , Cosimo Della Santina

Despite many accomplishments by legged robot designers, state-of-the-art bipedal robots are prone to falling over, cannot negotiate extremely rough terrains and cannot directly regulate unilateral contact forces. Our objective is to…

Robotics · Computer Science 2021-03-31 Kaier Liang , Eric Sihite , Pravin Dangol , Andrew Lessieur , Alireza Ramezani

Inspired by the digital twinning systems, a novel real-time digital double framework is developed to enhance robot perception of the terrain conditions. Based on the very same physical model and motion control, this work exploits the use of…