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Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control…

Telepresence robots enable users to interact with remote environments, but efficient and intuitive navigation remains a challenge. In this work, we developed and evaluated a shared control method, in which the robot navigates autonomously…

机器人学 · 计算机科学 2025-09-09 Juho Kalliokoski , Evan G. Center , Steven M. LaValle , Timo Ojala , Basak Sakcak

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

We present a general decentralized formulation for a large class of collision avoidance methods and show that all collision avoidance methods of this form are guaranteed to be collision free. This class includes several existing algorithms…

机器人学 · 计算机科学 2021-07-26 Kunal Shah , Guillermo Angeris , Mac Schwager

Smart electric wheelchairs can improve user experience by supporting the driver with shared control. State-of-the-art work showed the potential of shared control in improving safety in navigation for non-holonomic robots. However, for…

机器人学 · 计算机科学 2025-07-24 Jannis Bähler , Diego Paez-Granados , Jorge Peña-Queralta

Collision-free motion is a fundamental requirement for many autonomous systems. This paper develops a safety-critical control approach for the collision-free navigation of polytope-shaped agents in polytope-shaped environments. A systematic…

系统与控制 · 电气工程与系统科学 2025-05-26 Tamas G. Molnar

In advanced manufacturing, strict safety guarantees are required to allow humans and robots to work together in a shared workspace. One of the challenges in this application field is the variety and unpredictability of human behavior,…

机器人学 · 计算机科学 2023-08-22 Dianhao Zhang , Mien Van , Stephen Mcllvanna , Yuzhu Sun , Seán McLoone

To achieve safe legged locomotion, it is important to generate motion in real-time considering various constraints in robots and environments. In this study, we propose a lightweight real-time perspective motion control system for the newly…

Shared autonomy teleoperation can guarantee safety, but does so by reducing the human operator's control authority, which can lead to reduced levels of human-robot agreement and user satisfaction. This paper presents a novel haptic shared…

机器人学 · 计算机科学 2021-10-26 Dawei Zhang , Roberto Tron , Rebecca P. Khurshid

Shared control in assistive robotics blends human autonomy with computer assistance, thus simplifying complex tasks for individuals with physical impairments. This study assesses an adaptive Degrees of Freedom control method specifically…

人机交互 · 计算机科学 2024-06-11 Felix Ferdinand Goldau , Max Pascher , Annalies Baumeister , Patrizia Tolle , Jens Gerken , Udo Frese

The conventional Artificial Potential Field (APF) is fundamentally limited by the local minima issue and its inability to account for the kinematics of moving obstacles. This paper addresses the critical challenge of autonomous collision…

系统与控制 · 电气工程与系统科学 2025-12-10 Nikita Vaibhav Pavle , Shrreya Rajneesh , Rakesh Kumar Sahoo , Manoranjan Sinha

Action anticipation, intent prediction, and proactive behavior are all desirable characteristics for autonomous driving policies in interactive scenarios. Paramount, however, is ensuring safety on the road --- a key challenge in doing so is…

机器人学 · 计算机科学 2019-01-01 Karen Leung , Edward Schmerling , Mo Chen , John Talbot , J. Christian Gerdes , Marco Pavone

A trust-aware safe control system for autonomous navigation in the presence of humans, specifically pedestrians, is presented. The system combines model predictive control (MPC) with control barrier functions (CBFs) and trust estimation to…

系统与控制 · 电气工程与系统科学 2024-11-01 Saad Ejaz , Masaki Inoue

Autonomous collision avoidance requires accurate environmental perception; however, flight systems often possess limited sensing capabilities with field-of-view (FOV) restrictions. To navigate this challenge, we present a safety-aware…

机器人学 · 计算机科学 2024-03-22 Ryan M. Bena , Chongbo Zhao , Quan Nguyen

Ensuring safe and effective collaboration between humans and autonomous legged robots is a fundamental challenge in shared autonomy, particularly for teleoperated systems navigating cluttered environments. Conventional shared-control…

We describe a shared control methodology that can, without knowledge of the task, be used to improve a human's control of a dynamic system, be used as a training mechanism, and be used in conjunction with Imitation Learning to generate…

机器人学 · 计算机科学 2019-05-28 Alexander Broad , Todd Murphey , Brenna Argall

Action anticipation, intent prediction, and proactive behavior are all desirable characteristics for autonomous driving policies in interactive scenarios. Paramount, however, is ensuring safety on the road -- a key challenge in doing so is…

机器人学 · 计算机科学 2020-12-08 Karen Leung , Edward Schmerling , Mengxuan Zhang , Mo Chen , John Talbot , J. Christian Gerdes , Marco Pavone

We propose developing an integrated system to keep autonomous unmanned aircraft safely separated and behave as expected in conjunction with manned traffic. The main goal is to achieve safe manned-unmanned vehicle teaming to improve system…

Reactive collision avoidance is essential for agile robots navigating complex and dynamic environments, enabling real-time obstacle response. However, this task is inherently challenging because it requires a tight integration of…

机器人学 · 计算机科学 2025-06-06 Alessandro Saviolo , Niko Picello , Jeffrey Mao , Rishabh Verma , Giuseppe Loianno

As the number of Persons with Disabilities (PWD), particularly those with one or more physical impairments, increases, there is an increasing demand for assistive robotic technologies that can support independent mobility in the built…

机器人学 · 计算机科学 2024-05-28 Yifan Xu , Qianwei Wang , Vineet Kamat , Carol Menassa