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相关论文: Impedance control of a cable-driven SEA with mixed…

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Impedance control and specifically stiffness control are widely applied for physical human-robot interaction. The series elastic actuator (SEA) provides inherent compliance, safety and further benefits. This paper aims to improve the…

机器人学 · 计算机科学 2019-04-03 Ningbo Yu , Wulin Zou , Yubo Sun

Series elastic actuators (SEAs) are growingly important in physical human-robot interaction (HRI) due to their inherent safety and compliance. Cable-driven SEAs also allow flexible installation and remote torque transmission, etc. However,…

系统与控制 · 计算机科学 2016-11-01 Wulin Zou , Zhuo Yang , Wen Tan , Meng Wang , Jingtai Liu , Ningbo Yu

Most impedance control schemes in robotics implement a desired passive impedance, allowing for stable interaction between the controlled robot and the environment. However, there is little guidance on the selection of the desired impedance.…

机器人学 · 计算机科学 2022-12-21 Daniel Larby , Fulvio Forni

In intelligent manufacturing, robots are asked to dynamically adapt their behaviours without reducing productivity. Human teaching, where an operator physically interacts with the robot to demonstrate a new task, is a promising strategy to…

机器人学 · 计算机科学 2024-12-04 Matteo Dalle Vedove , Edoardo Lamon , Daniele Fontanelli , Luigi Palopoli , Matteo Saveriano

Robotic systems are increasingly relying on distributed feedback controllers to tackle complex and latency-prone sensing and decision problems. These demands come at the cost of a growing computational burden and, as a result, larger…

机器人学 · 计算机科学 2018-11-29 Ye Zhao , Luis Sentis

Series Elastic Actuation (SEA) has become prevalent in applications involving physical human-robot interaction as it provides considerable advantages over traditional stiff actuators in terms of stability robustness and fidelity of force…

机器人学 · 计算机科学 2026-05-14 Fatih Emre Tosun , Volkan Patoglu

Variable impedance control is advantageous for physical human-robot interaction to improve safety, adaptability and many other aspects. This paper presents a gain-scheduled variable stiffness control approach under strict frequency-domain…

机器人学 · 计算机科学 2020-08-11 Wulin Zou , Pu Duan , Yawen Chen , Ningbo Yu , Ling Shi

Impedance control is a well-established technique to control interaction forces in robotics. However, real implementations of impedance control with an inner loop may suffer from several limitations. Although common practice in designing…

In recent years, the focus on developing robot manipulators has shifted towards prioritizing safety in Human-Robot Interaction (HRI). Impedance control is a typical approach for interaction control in collaboration tasks. However, such a…

机器人学 · 计算机科学 2025-04-24 Zi-Qi Yang , Miaomiao Wang , Mehrdad R. Kermani

The field of physical human-robot interaction has dramatically evolved in the last decades. As a result, the robotic system's requirements have become more challenging, including personalized behavior for different tasks and users. Various…

As robots shift from industrial to human-centered spaces, adopting mobile manipulators, which expand workspace capabilities, becomes crucial. In these settings, seamless interaction with humans necessitates compliant control. Two common…

机器人学 · 计算机科学 2024-03-21 Jelmer de Wolde , Luzia Knoedler , Gianluca Garofalo , Javier Alonso-Mora

Generally, humanoid robots usually suffer significant impact force when walking or running in a non-predefined environment that could easily damage the actuators due to high stiffness. In recent years, the usages of passive, compliant…

机器人学 · 计算机科学 2022-01-25 Anh Khoa Lanh Luu , Van Tu Duong , Huy Hung Nguyen , Sang Bong Kim , Tan Tien Nguyen

Human collaboration with robots requires flexible role adaptation, enabling the robot to switch between an active leader and a passive follower. Effective role switching depends on accurately estimating human intentions, which is typically…

机器人学 · 计算机科学 2026-04-01 Fan Shao , Satoshi Endo , Sandra Hirche , Fanny Ficuciello

Passivity is necessary for robots to fluidly collaborate and interact with humans physically. Nevertheless, due to the unconstrained nature of passivity-based impedance control laws, the robot is vulnerable to infeasible and unsafe…

机器人学 · 计算机科学 2024-03-18 Zhiquan Zhang , Tianyu Li , Nadia Figueroa

This study proposes novel control methods that lower impact force by preemptive movement and smoothly transition to conventional contact impedance control. These suggested techniques are for force control-based robots and position/velocity…

机器人学 · 计算机科学 2023-07-04 Hikaru Arita , Hayato Nakamura , Takuto Fujiki , Kenji Tahara

Shared Control methods often use impedance control to track target poses in a robotic manipulator. The guidance behavior of such controllers is shaped by the used stiffness gains, which can be varying over time to achieve an adaptive…

Human-robot co-carrying tasks reveal their potential in both industrial and everyday applications by leveraging the strengths of both parties. Effective control of robots in these tasks requires managing the energy level in the closed-loop…

机器人学 · 计算机科学 2025-11-18 Dang Van Trong , Hiroki Kotake , Sumitaka Honji , Takahiro Wada

The successful implementation of Physical Human-Robot Interaction in industrial environments depends on ensuring safe collaboration between human operators and robotic devices. This necessitates the adoption of measures that guarantee the…

机器人学 · 计算机科学 2024-09-04 Armin Ghanbarzadeh , Esmaeil Najafi

Safe and compliant control of dynamic systems in interaction with the environment, e.g., in shared workspaces, continues to represent a major challenge. Mismatches in the dynamic model of the robots, numerical singularities, and the…

机器人学 · 计算机科学 2023-11-28 Carlo Tiseo , Wolfgang Merkt , Wouter Wolfslag , Sethu Vijayakumar , Michael Mistry

In this paper, we present an impedance control design for multi-variable linear and nonlinear robotic systems. The control design considers force and state feedback to improve the performance of the closed loop. Simultaneous feedback of…

机器人学 · 计算机科学 2020-10-27 Alejandro Donaire , Luigi Villani , Fanny Ficuciello , Juan Tomassini , Bruno Siciliano
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