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Nowadays, with the continuous expansion of application scenarios of robotic arms, there are more and more scenarios where nonspecialist come into contact with robotic arms. However, in terms of robotic arm visual servoing, traditional…

机器人学 · 计算机科学 2022-11-22 Haibin Zeng , Yueyong Lyu , Jiaming Qi , Shuangquan Zou , Tanghao Qin , Wenyu Qin

For soft continuum arms, visual servoing is a popular control strategy that relies on visual feedback to close the control loop. However, robust visual servoing is challenging as it requires reliable feature extraction from the image,…

In this paper, we present a novel visual servoing (VS) approach based on latent Denoising Diffusion Probabilistic Models (DDPMs), that explores the application of generative models for vision-based navigation of UAVs (Uncrewed Aerial…

机器人学 · 计算机科学 2025-04-30 Bishoy Gerges , Barbara Bazzana , Nicolò Botteghi , Youssef Aboudorra , Antonio Franchi

The simplicity of the visual servoing approach makes it an attractive option for tasks dealing with vision-based control of robots in many real-world applications. However, attaining precise alignment for unseen environments pose a…

This paper considers the final approach phase of visual-closed-loop grasping where the RGB-D camera is no longer able to provide valid depth information. Many current robotic grasping controllers are not closed-loop and therefore fail for…

机器人学 · 计算机科学 2020-03-02 Jesse Haviland , Feras Dayoub , Peter Corke

This paper investigates the visual servoing problem for robotic systems with uncertain kinematic, dynamic, and camera parameters. We first present the passivity properties associated with the overall kinematics of the system, and then…

系统与控制 · 计算机科学 2016-11-17 Hanlei Wang

In recent years, reports of illegal drones threatening public safety have increased. For the invasion of fully autonomous drones, traditional methods such as radio frequency interference and GPS shielding may fail. This paper proposes a…

机器人学 · 计算机科学 2024-09-24 Kun Yang , Chenggang Bai , Zhikun She , Quan Quan

Visual servoing, the method of controlling robot motion through feedback from visual sensors, has seen significant advancements with the integration of optical flow-based methods. However, its application remains limited by inherent…

We propose a geometric control framework on $SE(3)$ for quadrotors that enforces pointing-driven missions without completing a full attitude reference. The mission is encoded through virtual constraints defining a task manifold and an…

系统与控制 · 电气工程与系统科学 2026-03-02 Alexandre Anahory Simoes , Leonardo Colombo , Juan Giribet , Efstratios Stratoglou

In everyday life collaboration tasks between human operators and robots, the former necessitate simple ways for programming new skills, the latter have to show adaptive capabilities to cope with environmental changes. The joint use of…

机器人学 · 计算机科学 2023-09-15 Rocco Felici , Matteo Saveriano , Loris Roveda , Antonio Paolillo

This paper proposes an image-based visual servoing (IBVS) framework for UAV navigation and collision avoidance using only an RGB camera. While UAV navigation has been extensively studied, it remains challenging to apply IBVS in missions…

机器人学 · 计算机科学 2025-09-23 Xiaoyu Wang , Yan Rui Tan , William Leong , Sunan Huang , Rodney Teo , Cheng Xiang

This paper presents a vision guidance and control method for autonomous robotic capture and stabilization of orbital objects in a time-critical manner. The method takes into account various operational and physical constraints, including…

机器人学 · 计算机科学 2023-11-14 Farhad Aghili

Utilizing perception for feedback control in combination with Dynamic Movement Primitive (DMP)-based motion generation for a robot's end-effector control is a useful solution for many robotic manufacturing tasks. For instance, while…

机器人学 · 计算机科学 2024-10-28 Ghananeel Rotithor , Iman Salehi , Edward Tunstel , Ashwin P. Dani

In this paper, we propose a novel vision-based control algorithm for regulating the whole body shape of extensible multisection soft continuum manipulators. Contrary to existing vision-based control algorithms in the literature that…

机器人学 · 计算机科学 2026-02-24 Abhinav Gandhi , Shou-Shan Chiang , Cagdas D. Onal , Berk Calli

The advances in deep reinforcement learning recently revived interest in data-driven learning based approaches to navigation. In this paper we propose to learn viewpoint invariant and target invariant visual servoing for local mobile robot…

计算机视觉与模式识别 · 计算机科学 2020-03-06 Yimeng Li , Jana Kosecka

In this paper, we open up new avenues for visual servoing systems built upon the Path Integral (PI) optimal control theory, in which the non-linear partial differential equation (PDE) can be transformed into an expectation over all possible…

机器人学 · 计算机科学 2022-01-03 Ihab S. Mohamed

Existing deep learning based visual servoing approaches regress the relative camera pose between a pair of images. Therefore, they require a huge amount of training data and sometimes fine-tuning for adaptation to a novel scene.…

机器人学 · 计算机科学 2020-03-10 Y V S Harish , Harit Pandya , Ayush Gaud , Shreya Terupally , Sai Shankar , K. Madhava Krishna

Vision-based control systems, such as image-based visual servoing (IBVS), have been extensively explored for precise robot manipulation. A persistent challenge, however, is maintaining robust target tracking under partial or full…

机器人学 · 计算机科学 2025-10-30 Jee Won Lee , Hansol Lim , Sooyeun Yang , Jongseong Brad Choi

In this paper we present a visual servoing approach to the problem of object grasping and more generally, to the problem of aligning an end-effector with an object. First we extend the method proposed by Espiau et al. [1] to the case of a…

机器人学 · 计算机科学 2023-11-22 Radu Horaud , Fadi Dornaika , Bernard Espiau

Service robots have demonstrated significant potential for autonomous trolley collection and redistribution in public spaces like airports or warehouses to improve efficiency and reduce cost. Usually, a fully autonomous system for the…

机器人学 · 计算机科学 2026-03-03 Yuhan Pang , Bingyi Xia , Zhe Zhang , Zhirui Sun , Peijia Xie , Bike Zhu , Wenjun Xu , Jiankun Wang