The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Hydro-Québec operates 63 hydroelectric power plants and owns 668 dams, as well as 98 control structures. In order to ensure their safety and proper operation, Hydro-Québec's Research Institute (IREQ) develops robotic technologies that can perform diagnosis and intervention tasks underwater. Over the last 20 years, several generations of underwater Remotely Operated Vehicles (ROVs) have been developed...
Robotics now a days becoming more popular due to diverse applications. Vision to a robot has widened the range of applications and is developing rapidly. Robots with the power of image processing are used for object identification, surveillance and navigation. Vision applications generally deal with finding a part and orienting it for robotic handling or inspection before an application is performed...
In operating rooms, communication errors between the surgeons and assistants may be a source of inefficiency or error. In laparoscopic surgery, the endoscopic camera is an essential device, usually held by a human, and, why not, by a robotic assistant. In this paper, a novel four-DoF isotonic foot interface for controlling an endoscope positioner is proposed, featuring two rotational and two translational...
This paper presents a method of urine detection based on front vision and image recognition. Urine detection apparatus is composed of a conveyor belt, a urine detection card, an automatic detection needle and an automatic detection camera, a mobile device and so on. In order to realize the rapid and accurate identification of the circular hole in urine, the model of the front vision of the urine detection...
Attention-based bio-inspired vision can be studied as a different way to consider sensor processing, firstly allowing to reduce the amount of data transmitted by connected cameras and secondly advocating a paradigm shift toward neuro-inspired processing for the post-processing of the few regions extracted from the visual field. The computational complexity of the corresponding vision models leads...
Human detection systems are becoming more important as more automatic and robotic systems are being used in the world. RGB, depth, and thermal images can be used together to produce a better detection system that works in situations where one of the sensors might not produce valuable data. HOG features can provide valuable information for detecting humans in an image and that data can be used to train...
Robot systems based on ROS are growing in popularity. While they are vulnerable from a cybersecurity perspective, they still provide a solid framework for many research projects. The components can easily communicate with each other, share information and send control commands freely and without major restrictions. In special fields (medical, military, etc.) such freedom is dangerous and not acceptable...
Having inspiring evidence of the wonders present in the deep sea is the best way to get the general public more aware of and interested in ocean exploration. Advances in consumer grade virtual reality headsets like Google Cardboard allow for immersive experiences and a unique way to engage the public in ocean exploration. It is in this context that the Medusa 360 camera was invented. During the spring...
Vision-based place recognition in underwater environments is a key component for autonomous robotic exploration. However, this task can be very challenging due to the inherent properties of this kind of places such as: color distortion, poor visibility, perceptual aliasing and dynamic illumination. In this paper, we present a method for vision-based place recognition in coral reefs. Our method relies...
Automated manufacturing systems are becoming increasingly flexible in order to support a growing number of different products and product variations, as well as shortening lot sizes and product life cycles. Many manufacturing resource are already multi-purpose. But they are integrated in an automation infrastructure that may require significant effort to adapt. In this contribution, we present a system...
Blasting and painting operations involve high consumption of materials such as blasting grits and paint. In Singapore, most of the ship hull cleaning and blasting process are manual operations in the shipyard environment. The shipyard workers need to use fork lifts or cherry pickers, which cause several problems such as low efficiency, harmful pollution to operators' health, and inconsistent blasting...
A newly developed augmented reality system is proposed which emits luminescent AR markers using a projector instead of tangible markers. This paper clarifies several features such as marker replacement operation, traveling marker operation and postural deception operation to contribute to an active execution for mobile robot navigation.
This paper presents the initial development of a software tool with its GUI that allows analyzing the lights and shadows into the abdominal cavity during laparoscopic surgeries, when the internal lights are manipulated by lighting mini robots and have a different configuration to the regular one. The tool developed was created in the Blender environment with similar basic elements to a real laboratory,...
Over the last few years, the number of remote patient monitoring (RPM) products and of videoconferencing systems has exploded. There is also a significant number of research initiatives addressing the use of service robots for assistance in daily living activities. From a technological standpoint, providing telehomecare services is certainly feasible. However, one technological barrier is to have...
In this article we describe an approach for object detection and pose estimation from stereo RGB frames for robot manipulation in manufacturing scenarios. This solution was developed in the framework of the second challenge of the EuRoC project, and meets the need of a registration method invariant to the view perspective and robust to the structural symmetries and ambiguities of the target objects...
This paper describes the design and initial prototype of a thumb curling exoskeleton for movement therapy. This add-on device for the Finger INdividuating Grasp Exercise Robot (FINGER) guides the thumb through a single-degree-of-freedom naturalistic grasping motion. This motion complements the grasping motions of the index and middle fingers provided by FINGER. The kinematic design and mechanism synthesis...
This paper investigates whether empathy towards an interactive trash bin, particularly empathy induced by the bin's anthropomorphic appearance and behavior, affects people's evaluations of the artifact and their intention to use it to recycle. We performed an online survey in which 344 participants viewed a video showing a person interacting with a recycling bin in one of three conditions: non-interactive/control,...
This paper describes a 3D printed humanoid robot that can perform dancing and demonstrate human-like facial expressions to expand humanoid robotics in entertainment and at the same time to have an assistive role for children and elderly people. The humanoid is small and has an expressive face that is in a comfort zone for a child or an older person. It can maneuver in a day care or home care environment...
In this paper, we propose distributed sensor networks (DSNs) capable of performing reliable recognition targeted at multiple humans in the indoor environments. DSNs are composed with combinations of perception sensor units using a RGB-D sensor and a pan-tilt-zoom camera, and a control board to acquire 3W results of who, where, and what information based on audio-visual perception modules. In addition,...
Convolutional neural networks (CNNs), in combination with big data, are increasingly being used to engineer robustness into visual classification systems including human detection. One significant challenge to using a CNN on a mobile robot, however, is the associated computational cost and detection rate of running the network. In this work, we demonstrate how fusion with a feature-based layered classifier...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.