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This paper studies real-time motion planning and control for ball bumping motion with quadruped robots. To enable the quadruped to bump the flying ball with different initializations, we develop a nonlinear trajectory optimization-based…

机器人学 · 计算机科学 2022-10-12 Qiayuan Liao , Zhefeng Cao , Hua Chen , Wei Zhang

In this paper, we present an energy-conservation based control architecture for stable dynamic motion in quadruped robots. We model the robot as a Spring-loaded Inverted Pendulum (SLIP), a model well-suited to represent the bouncing motion…

机器人学 · 计算机科学 2025-11-10 Muhammad Saud Ul Hassan , Derek Vasquez , Hamza Asif , Christian Hubicki

Balancing oneself using the spine is a physiological alignment of the body posture in the most efficient manner by the muscular forces for mammals. For this reason, we can see many disabled quadruped animals can still stand or walk even…

机器人学 · 计算机科学 2024-03-05 Yuhong Huang , Zhenshan Bing , Zitao Zhang , Genghang Zhuang , Kai Huang , Alois Knoll

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…

机器人学 · 计算机科学 2025-09-01 Jing Cheng , Yasser G. Alqaham , Zhenyu Gan

Legged robots are becoming increasingly agile in exhibiting dynamic behaviors such as running and jumping. Usually, such behaviors are either optimized and engineered offline (i.e. the behavior is designed for before it is needed), either…

机器人学 · 计算机科学 2024-03-12 Guillaume Bellegarda , Milad Shafiee , Merih Ekin Özberk , Auke Ijspeert

Legged robot locomotion requires the planning of stable reference trajectories, especially while traversing uneven terrain. The proposed trajectory optimization framework is capable of generating dynamically stable base and footstep…

机器人学 · 计算机科学 2021-03-24 Oguzhan Cebe , Carlo Tiseo , Guiyang Xin , Hsiu-chin Lin , Joshua Smith , Michael Mistry

In this paper, I present vectorable thrust control for different locomotion modes by a novel quadruped robot, SPIDAR, equipped with vectoring rotor in each link. First, the robot's unique mechanical design, the dynamics model, and the basic…

机器人学 · 计算机科学 2025-03-17 Moju Zhao

Quadruped robots are machines intended for challenging and harsh environments. Despite the progress in locomotion strategy, safely recovering from unexpected falls or planned drops is still an open problem. It is further made more difficult…

机器人学 · 计算机科学 2023-09-14 Francesco Roscia , Michele Focchi , Andrea Del Prete , Darwin G. Caldwell , Claudio Semini

Compensating for slip and skid is crucial for mobile robots navigating outdoor terrains. In these challenging environments, slipping and skidding introduce uncertainties into trajectory tracking systems, potentially compromising the safety…

机器人学 · 计算机科学 2023-10-24 Payam Nourizadeh , Fiona J Stevens McFadden , Will N Browne

This study focuses on the locomotion capability improvement in a tendon-driven soft quadruped robot through an online adaptive learning approach. Leveraging the inverse kinematics model of the soft quadruped robot, we employ a central…

机器人学 · 计算机科学 2024-06-12 Kaige Tan , Xuezhi Niu , Qinglei Ji , Lei Feng , Martin Törngren

Our work aims to make significant strides in understanding unexplored locomotion control paradigms based on the integration of posture manipulation and thrust vectoring. These techniques are commonly seen in nature, such as Chukar birds…

Planning locomotion trajectories for legged microrobots is challenging because of their complex morphology, high frequency passive dynamics, and discontinuous contact interactions with their environment. Consequently, such research is often…

机器人学 · 计算机科学 2019-02-07 Neel Doshi , Kaushik Jayaram , Benjamin Goldberg , Zachary Manchester , Robert J. Wood , Scott Kuindersma

Wheeled-legged robots combine the efficiency of wheeled robots when driving on suitably flat surfaces and versatility of legged robots when stepping over or around obstacles. This paper introduces a planning and control framework to realise…

机器人学 · 计算机科学 2020-03-10 Songyan Xin , Sethu Vijayakumar

This work presents a two part framework for online planning and execution of dynamic aerial motions on a quadruped robot. Motions are planned via a centroidal momentum-based nonlinear optimization that is general enough to produce rich sets…

机器人学 · 计算机科学 2021-10-14 Matthew Chignoli , Sangbae Kim

We present a highly reactive controller which enables bipedal robots to blindly walk over various kinds of uneven terrains while resisting pushes. The high level motion planner does fast online optimization for footstep locations and Center…

机器人学 · 计算机科学 2021-09-21 Ke Wang , Hengyi Fei , Petar Kormushev

This paper presents a state-of-the-art optimal controller for quadruped locomotion. The robot dynamics is represented using a single rigid body (SRB) model. A linear time-varying model predictive controller (LTV MPC) is proposed by using…

机器人学 · 计算机科学 2023-10-17 Andrew Zheng , Sriram S. K. S Narayanan

This paper studies jumping for wheeled-bipedal robots, a motion that takes full advantage of the benefits from the hybrid wheeled and legged design features. A comprehensive hierarchical scheme for motion planning and control of jumping…

机器人学 · 计算机科学 2020-12-14 Hua Chen , Bingheng Wang , Zejun Hong , Cong Shen , Patrick M. Wensing , Wei Zhang

In this work, the hierarchical control strategy of template-based control for a bipedal robot is described. The axial force of a compliant leg is redirected to a point, called the virtual pivot point (VPP), of a 2D biped robot, which is…

机器人学 · 计算机科学 2023-03-23 Minh Nhat Vu

Sprawling locomotion in vertebrates, particularly salamanders, demonstrates how body undulation and spinal mobility enhance stability, maneuverability, and adaptability across complex terrains. While prior work has separately explored…

This study presents an innovative approach to optimal gait control for a soft quadruped robot enabled by four Compressible Tendon-driven Soft Actuators (CTSAs). Improving our previous studies of using model-free reinforcement learning for…

机器人学 · 计算机科学 2026-05-08 Xuezhi Niu , Kaige Tan , Lei Feng
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