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相关论文: Motion Decoupling and Composition via Reduced Orde…

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In this paper, we propose an efficient approach to generate dynamic and versatile humanoid walking with non-constant center of mass (COM) height. We exploit the benefits of using reduced order models (ROMs) and stepping control to generate…

机器人学 · 计算机科学 2020-08-07 Xiaobin Xiong , Aaron Ames

A Hybrid passive Linear Inverted Pendulum (HLIP) model is proposed for characterizing, stabilizing and composing periodic orbits for 3D underactuated bipedal walking. Specifically, Period-1 (P1) and Period-2 (P2) orbits are geometrically…

机器人学 · 计算机科学 2019-10-03 Xiaobin Xiong , Aaron Ames

We present a framework to generate periodic trajectory references for a 3D under-actuated bipedal robot, using a linear inverted pendulum (LIP) based controller with adaptive neural regulation. We use the LIP template model to estimate the…

机器人学 · 计算机科学 2022-08-04 Victor Paredes , Ayonga Hereid

We present a new walking foot-placement controller based on 3LP, a 3D model of bipedal walking that is composed of three pendulums to simulate falling, swing and torso dynamics. Taking advantage of linear equations and closed-form solutions…

机器人学 · 计算机科学 2018-11-12 Salman Faraji , Philippe Muellhaupt , Auke J. Ijspeert

We present a new framework to generate human-like lower-limb trajectories in periodic and non-periodic walking conditions. In our method, walking dynamics is encoded in 3LP, a linear simplified model composed of three pendulums to model…

机器人学 · 计算机科学 2018-03-28 Salman Faraji , Auke Jan Ijspeert

Drawing inspiration from human multi-domain walking, this work presents a novel reduced-order model based framework for realizing multi-domain robotic walking. At the core of our approach is the viewpoint that human walking can be…

机器人学 · 计算机科学 2023-10-06 Min Dai , Jaemin Lee , Aaron D. Ames

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 an online walking synthesis methodology to enable dynamic and stable walking on constrained footholds for underactuated bipedal robots. Our approach modulates the change of angular momentum about the foot-ground contact…

机器人学 · 计算机科学 2021-09-27 Min Dai , Xiaobin Xiong , Aaron Ames

Realizing bipedal locomotion on humanoid robots with point feet is especially challenging due to their highly underactuated nature, high degrees of freedom, and hybrid dynamics resulting from impacts. With the goal of addressing this…

机器人学 · 计算机科学 2024-06-21 Adrian B. Ghansah , Jeeseop Kim , Kejun Li , Aaron D. Ames

In this paper, we present a new model of biped locomotion which is composed of three linear pendulums (one per leg and one for the whole upper body) to describe stance, swing and torso dynamics. In addition to double support, this model has…

机器人学 · 计算机科学 2016-05-11 Salman Faraji , Auke J. Ijspeert

Reduced-order models (ROMs) provide a powerful means of synthesizing dynamic walking gaits on legged robots. Yet this approach lacks the formal guarantees enjoyed by methods that utilize the full-order model (FOM) for gait synthesis, e.g.,…

系统与控制 · 电气工程与系统科学 2025-09-03 Sergio A. Esteban , Max H. Cohen , Adrian B. Ghansah , Aaron D. Ames

In this paper, we holistically present a Hybrid-Linear Inverted Pendulum (H-LIP) based approach for synthesizing and stabilizing 3D foot-underactuated bipedal walking, with an emphasis on thorough hardware realization. The H-LIP is proposed…

机器人学 · 计算机科学 2021-11-04 Xiaobin Xiong , Aaron Ames

Humanoid robots have great potential for real-world applications due to their ability to operate in environments built for humans, but their deployment is hindered by the challenge of controlling their underlying high-dimensional nonlinear…

机器人学 · 计算机科学 2025-02-24 Sergio A. Esteban , Vince Kurtz , Adrian B. Ghansah , Aaron D. Ames

As humanoid robots enter real-world environments, ensuring robust locomotion across diverse environments is crucial. This paper presents a computationally efficient hierarchical control framework for humanoid robot locomotion based on…

机器人学 · 计算机科学 2025-09-08 Adrian B. Ghansah , Sergio A. Esteban , Aaron D. Ames

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

Controller design for bipedal walking on dynamic rigid surfaces (DRSes), which are rigid surfaces moving in the inertial frame (e.g., ships and airplanes), remains largely uninvestigated. This paper introduces a hierarchical control…

机器人学 · 计算机科学 2022-12-01 Yuan Gao , Yukai Gong , Victor Paredes , Ayonga Hereid , Yan Gu

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

Global position control for underactuated bipedal walking is a challenging problem due to the lack of actuation on the feet of the robots. In this paper, we apply the Hybrid-Linear Inverted Pendulum (H-LIP) based stepping on 3D…

机器人学 · 计算机科学 2021-11-30 Xiaobin Xiong , Jenna Reher , Aaron Ames

In this work, we introduce a control framework that combines model-based footstep planning with Reinforcement Learning (RL), leveraging desired footstep patterns derived from the Linear Inverted Pendulum (LIP) dynamics. Utilizing the LIP…

机器人学 · 计算机科学 2024-08-06 Ho Jae Lee , Seungwoo Hong , Sangbae Kim

We present an advanced and novel control method to enable actuated Spring Loaded Inverted Pendulum model to walk over rough and challenging terrains. The high-level philosophy is the decoupling of the controls of the vertical and horizontal…

机器人学 · 计算机科学 2021-11-04 Xiaobin Xiong , Aaron Ames
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