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Compact quadrupedal robots are proving increasingly suitable for deployment in real-world scenarios. Their smaller size fosters easy integration into human environments. Nevertheless, real-time locomotion on uneven terrains remains…

Robotics · Computer Science 2026-02-20 Davide Plozza , Patricia Apostol , Paul Joseph , Simon Schläpfer , Michele Magno

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…

Rescue missions in mountain environments are hardly achievable by standard legged robots-because of the high slopes-or by flying robots-because of limited payload capacity. We present a concept for a rope-aided climbing robot which can…

In this paper, we present STRIDE, a Simple, Terrestrial, Reconfigurable, Intelligent, Dynamic, and Educational bipedal platform. STRIDE aims to propel bipedal robotics research and education by providing a cost-effective implementation with…

Robotics · Computer Science 2024-07-04 Yuhao Huang , Yicheng Zeng , Xiaobin Xiong

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…

Solving mobile manipulation tasks in inaccessible and dangerous environments is an important application of robots to support humans. Example domains are construction and maintenance of manned and unmanned stations on the moon and other…

The evolution from motion capture and teleoperation to robot skill learning has emerged as a hotspot and critical pathway for advancing embodied intelligence. However, existing systems still face a persistent gap in simultaneously achieving…

Robotics · Computer Science 2025-03-14 Rui Zhong , Chuang Cheng , Junpeng Xu , Yantong Wei , Ce Guo , Daoxun Zhang , Wei Dai , Huimin Lu

Can a quadrupedal robot perform bipedal motions like humans? Although developing human-like behaviors is more often studied on costly bipedal robot platforms, we present a solution over a lightweight quadrupedal robot that unlocks the…

Robotics · Computer Science 2024-03-05 Yunfei Li , Jinhan Li , Wei Fu , Yi Wu

Traversing terrains with sparse footholds like legged animals presents a promising yet challenging task for quadruped robots, as it requires precise environmental perception and agile control to secure safe foot placement while maintaining…

Robotics · Computer Science 2025-12-16 Ruiqi Yu , Qianshi Wang , Hongyi Li , Zheng Jun , Zhicheng Wang , Jun Wu , Qiuguo Zhu

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…

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…

Multi-legged robots with six or more legs are not in common use, despite designs with superior stability, maneuverability, and a low number of actuators being available for over 20 years. This may be in part due to the difficulty in…

Robotics · Computer Science 2024-01-05 Ziyou Wu , Dan Zhao , Shai Revzen

This work introduces a model-free reinforcement learning framework that enables various modes of motion (quadruped, tripod, or biped) and diverse tasks for legged robot locomotion. We employ a motion-style reward based on a relaxed…

Robotics · Computer Science 2025-05-12 Gijeong Kim , Yong-Hoon Lee , Hae-Won Park

Humanoid robots have demonstrated robust locomotion capabilities using Reinforcement Learning (RL)-based approaches. Further, to obtain human-like behaviors, existing methods integrate human motion-tracking or motion prior in the RL…

Robotics · Computer Science 2025-06-13 Dewei Wang , Xinmiao Wang , Xinzhe Liu , Jiyuan Shi , Yingnan Zhao , Chenjia Bai , Xuelong Li

Dynamic walking on bipedal robots has evolved from an idea in science fiction to a practical reality. This is due to continued progress in three key areas: a mathematical understanding of locomotion, the computational ability to encode this…

Robotics · Computer Science 2020-10-16 Jenna Reher , Aaron D. Ames

Celestial bodies such as the Moon and Mars are mainly covered by loose, granular soil, a notoriously challenging terrain to traverse with (wheeled) robotic systems. Here, we present experimental work on traversing steep, granular slopes…

Humans possess delicate dynamic balance mechanisms that enable them to maintain stability across diverse terrains and under extreme conditions. However, despite significant advances recently, existing locomotion algorithms for humanoid…

Robotics · Computer Science 2025-03-03 Weiji Xie , Chenjia Bai , Jiyuan Shi , Junkai Yang , Yunfei Ge , Weinan Zhang , Xuelong Li

Human-robot walking with prosthetic legs and exoskeletons, especially over complex terrains such as stairs, remains a significant challenge. Egocentric vision has the unique potential to detect the walking environment prior to physical…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Andrew Garrett Kurbis , Dmytro Kuzmenko , Bogdan Ivanyuk-Skulskiy , Alex Mihailidis , Brokoslaw Laschowski

This paper introduces a new type of soft continuum robot, called SCoReS, which is capable of self-controlling continuously its curvature at the segment level; in contrast to previous designs which either require external forces or machine…

Robotics · Computer Science 2024-01-22 Xinran Wang , Qiujie Lu , Dongmyoung Lee , Zhongxue Gan , Nicolas Rojas

The importance of humanoid robots in today's world is undeniable, one of the most important features of humanoid robots is the ability to maneuver in environments such as stairs that other robots can not easily cross. A suitable algorithm…

Robotics · Computer Science 2023-01-03 Aref Amiri , Hassan Salarieh
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