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Legged locomotion enables robotic systems to traverse extremely challenging terrains. In many real-world scenarios, the terrain is not that difficult and these mixed terrain types introduce the need for flexible use of different walking…

Achieving versatile and explosive motion with robustness against dynamic uncertainties is a challenging task. Introducing parallel compliance in quadrupedal design is deemed to enhance locomotion performance, which, however, makes the…

Robotics · Computer Science 2025-04-18 Jiatao Ding , Peiyu Yang , Fabio Boekel , Jens Kober , Wei Pan , Matteo Saveriano , Cosimo Della Santina

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they…

Robotics · Computer Science 2020-10-08 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

Synthesizing a stable gait that enables a quadruped robot to climb stairs is the focus of this paper. To this end, first a stable transition from initial to desired configuration is made based on the minimum number of steps and maximum use…

Robotics · Computer Science 2018-09-11 Ali Zamani , Mahdi Khorram , S. Ali A. Moosavian

The autonomous transportation of materials over challenging terrain is a challenge with major economic implications and remains unsolved. This paper introduces LEVA, a high-payload, high-mobility robot designed for autonomous logistics…

Wings of flying animals can not only generate lift and control torques but also can sense their surroundings. Such dual functions of sensing and actuation coupled in one element are particularly useful for small sized bio-inspired robotic…

Robotics · Computer Science 2019-03-04 Zhan Tu , Fan Fei , Jian Zhang , Xinyan Deng

In this paper, we propose a novel framework capable of generating various walking and running gaits for bipedal robots. The main goal is to relax the fixed center of mass (CoM) height assumption of the linear inverted pendulum model (LIPM)…

Robotics · Computer Science 2021-10-19 Mahrokh Ghoddousi Boroujeni , Elham Daneshmand , Ludovic Righetti , Majid Khadiv

Wheeled ground robots are limited from exploring extreme environments such as caves, lava tubes and skylights. Small robots that utilize unconventional mobility through hopping, flying and rolling can overcome many roughness limitations and…

Dynamic quadrupedal locomotion over rough terrains reveals remarkable progress over the last few decades. Small-scale quadruped robots are adequately flexible and adaptable to traverse uneven terrains along sagittal direction, such as…

Robotics · Computer Science 2021-10-27 Hongwu Zhu , Dong Wang , Nathan Boyd , Ziyi Zhou , Lecheng Ruan , Aidong Zhang , Ning Ding , Ye Zhao , Jianwen Luo

The ability to modify morphology in response to environmental changes represents a highly advantageous feature in biological organisms, facilitating their adaptation to diverse environmental conditions. While some robots have the capability…

Robotics · Computer Science 2023-09-20 Saurav Kumar Dutta , Yasemin Ozkan-Aydin

The motion control of wheeled mobile robots at high speeds under adverse ground conditions is a difficult task, since the robots' wheels may be subject to different kinds of slip. This work introduces an adaptive kinematic controller that…

Robotics · Computer Science 2024-02-19 Thiago B. Burghi , Juliano G. Iossaqui , Juan F. Camino

This work proposes a compact robotic limb, AugLimb, that can augment our body functions and support the daily activities. AugLimb adopts the double-layer scissor unit for the extendable mechanism which can achieve 2.5 times longer than the…

Human-Computer Interaction · Computer Science 2021-09-02 Zeyu Ding , Shogo Yoshida , Toby Chong , Tsukasa Fukusato , Takuma Torii , Haoran Xie

A hyper-redundant robotic arm is a manipulator with many degrees of freedom, capable of executing tasks in cluttered environments where robotic arms with fewer degrees of freedom are unable to operate. This paper introduces a new method for…

Robotics · Computer Science 2018-03-13 Marios P. Xanthidis , Kostantinos J. Kyriakopoulos , Ioannis Rekleitis

To achieve highly dynamic jumps of legged robots, it is essential to control the rotational dynamics of the robot. In this paper, we aim to improve the jumping performance by proposing a unified model for planning highly dynamic jumps that…

Robotics · Computer Science 2021-09-13 Ke Wang , Guiyang Xin , Songyan Xin , Michael Mistry , Sethu Vijayakumar , Petar Kormushev

Legged robots have achieved impressive feats in dynamic locomotion in challenging unstructured terrain. However, in entertainment applications, the design and control of these robots face additional challenges in appealing to human…

In cable driven parallel robots (CDPRs), the payload is suspended using a network of cables whose length can be controlled to maneuver the payload within the workspace. Compared to rigid link robots, CDPRs provide better maneuverability due…

Robotics · Computer Science 2025-06-24 Dhruv Sorathiya , Sarthak Sahoo , Vivek Natarajan

Quadruped robots are becoming increasingly essential for various applications, including industrial inspection and catastrophe search and rescue. These scenarios require robots to possess enhanced agility and obstacle-navigation skills.…

Robotics · Computer Science 2026-03-03 Yiyang Chen , Yuxin Liu , Jinzheng Zhou , Fanxin Wang , Qinglei Bu , Jie Sun , Yikun Cheng

This paper presents Stanford Doggo, a quasi-direct-drive quadruped capable of dynamic locomotion. This robot matches or exceeds common performance metrics of state-of-the-art legged robots. In terms of vertical jumping agility, a measure of…

Robotics · Computer Science 2019-05-13 Nathan Kau , Aaron Schultz , Natalie Ferrante , Patrick Slade

The capability of effectively moving on complex terrains such as sand and gravel can empower our robots to robustly operate in outdoor environments, and assist with critical tasks such as environment monitoring, search-and-rescue, and…

Robotics · Computer Science 2025-12-23 Xingjue Liao , Wenhao Liu , Hao Wu , Feifei Qian

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