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(Semi-) autonomous complex UAV missions, such as inspection or search-and-rescue in uncertain dynamic environments, require obstacle avoidance and operator shared control. Combining humans' cognitive abilities with fast automation is the key for such missions. This paper presents a flight control system architecture based on the instantaneous Task Specification using Constraints (iTaSC) methodology...
In this paper, we present a novel interface for teleoperating ground vehicles. Obstacle avoidance with ground vehicles demands a high level of operator attention, typically distracting from the primary mission. The Ambient Obstacle Avoidance (AOA) was designed to allow operators to effectively perform a primary task, such as search, while still effectively avoiding obstacles. The AOA wraps around...
Moving obstacle avoidance is a fundamental requirement for any robot operating in real environments, where pedestrians, bicycles, and cars are present. In this paper, we propose and validate a framework for avoiding moving obstacles during visual navigation with a wheeled mobile robot. Visual navigation consists of following a path, represented as an ordered set of key images, which have been acquired...
We present a mobile manipulation platform operated by a motor-impaired person using input from a head-tracker, single-button mouse. The platform is used to perform varied and unscripted manipulation tasks in a real home, combining navigation, perception and manipulation. The operator can make use of a wide range of interaction methods and tools, from direct tele-operation of the gripper or mobile...
This paper describes Quanser's mobile robot control framework (QMRCF) for an educational robot called Qbot. The QMRCF accelerates the development of mobile robot control algorithms and hardware-in-the-loop (HIL) testing using model-based design techniques of matlab simulink. This paper also validates the performance of QMRCF using several experiments in various research fields of mobile robotics,...
An autonomous robot finds applications in process industries to perform control operations such as manipulation of valves, especially in hazardous environments. This would require localization and mapping capabilities for efficient navigation, coupled with a dexterous arm for manipulation of the valves. Dynamic path planning and obstacle avoidance are the necessary requirements for autonomous navigation...
Binocular Stereo vision system has been actively used for real time obstacle avoidance in autonomous mobile robotics for the last century. The computation of free space is one of the essential tasks in this field. This paper describes algorithm for obstacle avoidance for mobile robots which can navigate through obstacle. While most of the paper based on stereo vision works on the disparity image but...
This article introduces a prototype of the mobile device intended for interoperation transport in outdoor environment. The interoperation transport between production and montage halls is its main function. The mobile robot is protected against damage at forward and backward movement.
Monocular vision based navigation method has the merits of simple computation and cheap hardware and is promising to realize real time navigation. A monocular vision based navigation method for a mobile robot moving in unknown environment is presented in the paper. By a special installation of a monocular camera on the top of a mobile robot, the method can realize the obstacle detection, distance...
Concerns about terrorist acts of planting explosive and/or dangerous chemical/biological agents in public environments such as air and bus terminals have prompted preventative actions at all levels. One such possible measure is covered in this paper: detection, inspection and safe removal of suspicious/abandoned luggage. A number of specialized mobile robotic platforms take on a linked set of roles...
Autonomous robot navigation has many applications such as space exploration and autonomous vehicles. Currently, such navigation is ensured by the use of multiple sensors which may hinder quick commercialization. In this article, we propose a solution for navigating a robot in an unknown environment using only monocular vision algorithms.
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