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In recent years, the field of legged robotics has seen growing interest in enhancing the capabilities of these robots through the integration of articulated robotic arms. However, achieving successful loco-manipulation, especially involving…

机器人学 · 计算机科学 2024-03-21 Alberto Rigo , Muqun Hu , Satyandra K. Gupta , Quan Nguyen

This paper proposes a safety-critical locomotion control framework employed for legged robots exploring through infeasible path in obstacle-rich environments. Our research focus is on achieving safe and robust locomotion where robots…

机器人学 · 计算机科学 2024-09-17 Jaemin Lee , Min Dai , Jeeseop Kim , Aaron D. Ames

Models of bipedal locomotion are hybrid, with a continuous component often generated by a Lagrangian plus actuators, and a discrete component where leg transfer takes place. The discrete component typically consists of a locally embedded…

机器人学 · 计算机科学 2016-06-13 Hamed Razavi , Anthony M. Bloch , Christine Chevallereau , J. W. Grizzle

This paper presents a hierarchical control strategy based on hybrid systems theory, nonlinear control, and safety-critical systems to enable cooperative locomotion of robotic guide dogs and visually impaired people. We address…

最优化与控制 · 数学 2019-04-08 Kaveh Akbari Hamed , Vinay R. Kamidi , Wen-Loong Ma , Alexander Leonessa , Aaron D. Ames

The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback control loop performing torque-driven control. The…

机器人学 · 计算机科学 2020-04-01 Ignacio Abadia , Francisco Naveros , Jesus A. Garrido , Eduardo Ros , Niceto R. Luque

In the control of bipedal locomotion, linear velocity of the center of mass has been widely accepted as a primary variable for summarizing a robot's state vector. The ubiquitous massless-legged linear inverted pendulum (LIP) model is based…

机器人学 · 计算机科学 2021-05-04 Yukai Gong , Jessy Grizzle

In this work, we propose a method to generate reduced-order model reference trajectories for general classes of highly dynamic maneuvers for bipedal robots for use in sim-to-real reinforcement learning. Our approach is to utilize a single…

机器人学 · 计算机科学 2022-07-12 Ryan Batke , Fangzhou Yu , Jeremy Dao , Jonathan Hurst , Ross L. Hatton , Alan Fern , Kevin Green

Humans can balance very well during walking, even when perturbed. But it seems difficult to achieve robust walking for bipedal robots. Here we describe the simplest balance controller that leads to robust walking for a linear inverted…

机器人学 · 计算机科学 2022-11-14 Linqi Ye , Xueqian Wang , Houde Liu , Bin Liang

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

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…

机器人学 · 计算机科学 2024-03-05 Yunfei Li , Jinhan Li , Wei Fu , Yi Wu

Humans excel at robust bipedal walking in complex natural environments. In each step, they adequately tune the interaction of biomechanical muscle dynamics and neuronal signals to be robust against uncertainties in ground conditions.…

There is a growing interest in learning a velocity command tracking controller of quadruped robot using reinforcement learning due to its robustness and scalability. However, a single policy, trained end-to-end, usually shows a single gait…

机器人学 · 计算机科学 2021-12-10 Yunho Kim , Bukun Son , Dongjun Lee

Hyper-redundant robots offer high dexterity, making them good at operating in confined and unstructured environments. To extend the reachable workspace, we built a multi-segment flexible rack actuated planar robot. However, the compliance…

机器人学 · 计算机科学 2026-03-12 Yuli Song , Wenbo Li , Wenci Xin , Zhiqiang Tang , Daniela Rus , Cecilia Laschi

An external magnetic field can be used to remotely control small-scaled robots, making them promising candidates for diverse biomedical and engineering applications. We showed that our magnetically actuated millirobot is highly agile and…

机器人学 · 计算机科学 2021-11-09 Ehab Al Khatib , Pouria Razzaghi , Yildirim Hurmuzlu

Learning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable to legged systems…

机器人学 · 计算机科学 2022-07-26 Daniel Ordonez-Apraez , Antonio Agudo , Francesc Moreno-Noguer , Mario Martin

Pedipulation leverages the feet of legged robots for mobile manipulation, eliminating the need for dedicated robotic arms. While previous works have showcased blind and task-specific pedipulation skills, they fail to account for static and…

机器人学 · 计算机科学 2024-11-05 Jonas Stolle , Philip Arm , Mayank Mittal , Marco Hutter

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

Partial-assistance exoskeletons hold significant potential for gait rehabilitation by promoting active participation during (re)learning of normative walking patterns. Typically, the control of interaction torques in partial-assistance…

In this paper, a method for stabilizing biped robots stepping by a combination of Divergent Component of Motion (DCM) tracking and step adjustment is proposed. In this method, the DCM trajectory is generated, consistent with the predefined…

Bipedal humanoid robots must precisely coordinate balance, timing, and contact decisions when locomoting on constrained footholds such as stepping stones, beams, and planks -- even minor errors can lead to catastrophic failure. Classical…

机器人学 · 计算机科学 2026-01-13 Min Dai , William D. Compton , Junheng Li , Lizhi Yang , Aaron D. Ames