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This paper considers the problem of robot motion planning in a workspace with obstacles for systems with uncertain 2nd-order dynamics. In particular, we combine closed form potential-based feedback controllers with adaptive control…

机器人学 · 计算机科学 2020-05-27 Christos K. Verginis , Dimos V. Dimarogonas

Generating a collision-free robot motion is crucial for safe applications in real-world settings. This requires an accurate model of all obstacle shapes within the constrained robot cell, which is particularly challenging and…

机器人学 · 计算机科学 2025-10-29 Gaetano Meli , Niels Dehio

With the goal of efficiently computing collision-free robot motion trajectories in dynamically changing environments, we present results of a novel method for Heuristics Informed Robot Online Path Planning (HIRO). Dividing robot…

机器人学 · 计算机科学 2024-10-29 Xi Huang , Gergely Sóti , Hongyi Zhou , Christoph Ledermann , Björn Hein , Torsten Kröger

This paper presents a novel quasi-centralized approach for collision-free path planning of multi-robot systems (MRS) in obstacle-ridden environments. A new formation potential fields (FPF) concept is proposed around a virtual agent, located…

机器人学 · 计算机科学 2024-10-28 Rohith G , Madhu Vadali

For Cable-Driven Parallel Robots, the cable length is the only element we control. Better knowledge of this parameter will improve robot performances. We propose a new cable length autocalibration subsystem. It consists of an instrumented…

机器人学 · 计算机科学 2021-01-01 Jaâfar Moussaid

Micro-scale continuum robots face significant limitations in achieving three-dimensional contact force perception, primarily due to structural miniaturization, nonlinear mechanical, and sensor integration. To overcome these limitations,…

机器人学 · 计算机科学 2026-03-10 Gang Zhang , Junyan Yan , Jibiao Chen , Shing Shin Cheng

Transporting objects using aerial robots has been widely studied in the literature. Still, those approaches always assume that the connection between the quadrotor and the load is made in a previous stage. However, that previous stage…

机器人学 · 计算机科学 2021-03-03 Diego S. D'antonio , Gustavo A. Cardona , David Saldaña

Decentralized control of robots has attracted huge research interests. However, some of the research used unrealistic assumptions without collision avoidance. This report focuses on the collision-free control for multiple robots in both…

机器人学 · 计算机科学 2017-09-19 Xiaotian Yang

CAFEs (Collaborative Agricultural Floating End-effectors) is a new robot design and control approach to automating large-scale agricultural tasks. Based upon a cable driven robot architecture, by sharing the same roller-driven cable set…

机器人学 · 计算机科学 2025-03-20 Hung Hon Cheng , Josie Hughes

As the demands of autonomous mobile robots are increasing in recent years, the requirement of the path planning/navigation algorithm should not be content with the ability to reach the target without any collisions, but also should try to…

机器人学 · 计算机科学 2021-10-05 Jian Zhang

We study the problem of planning collision-free paths for a group of homogeneous robots. We propose a novel approach for turning the paths that were planned egocentrically by the robots, e.g. without taking other robots' moves into account,…

人工智能 · 计算机科学 2018-07-06 Anton Andreychuk , Konstantin Yakovlev

This work addresses the challenge of safe and efficient mobile robot navigation in complex dynamic environments with concave moving obstacles. Reactive safe controllers like Control Barrier Functions (CBFs) design obstacle avoidance…

机器人学 · 计算机科学 2026-02-12 Yifan Xue , Ze Zhang , Knut Åkesson , Nadia Figueroa

In this paper, we present an approach for learning collision-free robot trajectories in the presence of moving obstacles. As a first step, we train a backup policy to generate evasive movements from arbitrary initial robot states using…

机器人学 · 计算机科学 2024-11-11 Jonas Kiemel , Ludovic Righetti , Torsten Kröger , Tamim Asfour

This paper focusses on the energy-efficient control of a cable-driven robot for tasks that only require precise positioning at few points in their motion, and where that accuracy can be obtained through contacts. This includes the majority…

机器人学 · 计算机科学 2023-03-21 Boris Deroo , Erwin Aertbeliën , Wilm Decré , Herman Bruyninckx

This paper develops \emph{iterative Covariance Regulation} (iCR), a novel method for active exploration and mapping for a mobile robot equipped with on-board sensors. The problem is posed as optimal control over the $SE(3)$ pose kinematics…

机器人学 · 计算机科学 2021-03-11 Shumon Koga , Arash Asgharivaskasi , Nikolay Atanasov

Image-based visual servoing (IBVS) is a widely-used approach in robotics that employs visual information to guide robots towards desired positions. However, occlusions in this approach can lead to visual servoing failure and degrade the…

机器人学 · 计算机科学 2024-07-09 Yanze Zhang , Yupeng Yang , Wenhao Luo

For massive large-scale tasks, a multi-robot system (MRS) can effectively improve efficiency by utilizing each robot's different capabilities, mobility, and functionality. In this paper, we focus on the multi-robot coverage path planning…

机器人学 · 计算机科学 2023-08-14 Jingtao Tang , Yuan Gao , Tin Lun Lam

Full drive-by-wire electric vehicles (FDWEV) with X-by-wire technology can achieve independent driving, braking, and steering of each wheel, providing a good application platform for autonomous driving technology. Path planning and tracking…

系统与控制 · 电气工程与系统科学 2023-01-10 Guoying Chen , Min Hua , Wei Liu , Jinhai Wang , Shunhui Song , Changsheng Liu

An emerging public health application of connected and automated vehicle (CAV) technologies is to reduce response times of emergency medical service (EMS) by indirectly coordinating traffic. Therefore, in this work we study the CAV-assisted…

机器人学 · 计算机科学 2023-12-19 Dajiang Suo , Vindula Jayawardana , Cathy Wu

We propose a design method for a robust safety filter based on Input Constrained Control Barrier Functions (ICCBF) for car-like robots moving in complex environments. A robust ICCBF that can be efficiently implemented is obtained by…

机器人学 · 计算机科学 2024-02-21 Sven Brüggemann , Dominic Nightingale , Jack Silberman , Maurício de Oliveira