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We present an interactive perception model for object sorting based on Gaussian Process (GP) classification that is capable of recognizing objects categories from point cloud data. In our approach, FPFH features are extracted from point clouds to describe the local 3D shape of objects and a Bag-of-Words coding method is used to obtain an object-level vocabulary representation. Multi-class Gaussian...
In this paper, we present a method for vision-based place recognition in environments with a high content of similar features and that are prone to variations in illumination. The high similarity of features makes difficult the disambiguation between two different places. The novelty of our method relies on using the Bag of Words (BoW) approach to derive an image descriptor from a set of relevant...
Real-time detection of a speaker and speaker's location is a challenging task, which is usually addressed by processing acoustic/visual information. However, it is a well-known fact that when a person speaks, the lip and head movements can also be used to detect the speaker and location. This paper proposes a speaker detection system using visual prosody information (e.g. head and lip movements) in...
Map retrieval, the problem of similarity search over a large collection of 3D pointset maps previously built by mobile robots, is crucial for autonomous navigation in indoor and outdoor environments. Bag-of-words (BoW) methods constitute a popular approach to map retrieval; however, these methods have extremely limited descriptive ability because they ignore the spatial layout information of the local...
Change detection, or anomaly detection, from street-view images acquired by an autonomous robot at multiple different times, is a major problem in robotic mapping and autonomous driving. Formulation as an image comparison task, which operates on a given pair of query and reference images is common to many existing approaches to this problem. Unfortunately, providing relevant reference images is not...
These days, some robots have emotional state (expression and recognition) to make Human-Robot Interaction (HRI) and Robot-Robot Interaction (RRI) better. In this article we analyze what it means for a robot to have emotion and distinguishing emotional state for communication from an emotional state as a mechanism for the organization of its behavior with humans and robots by convolutional neural network...
This paper focuses on user's interactive control experience and information architecture design. From the elements of the user experience and interactive interface design principles, and strive to design a simple, easy to use, stable performance, multi - oriented interactive interface. Based on AD theory, establish the elements of user experience and information architecture, system security, interactive...
Suppose we are given an autonomous vehicle that has limitations, meaning that it may need to transfer control back to the human driver to guarantee safety in certain situations. This paper presents work on designing a user interface to assist this hand off by considering the effects of the expression of internal and external awareness. Internal awareness is the concept of knowing whether or not the...
In this contribution we present a formalism to combine the well-known process modeling technique based on Petri nets with the recent developments in Visual Programming for robot programming. The resulting modeling approach enables process developers and robot programmers to follow a hierarchical approach to process development and to profit from the extensive analysis techniques developed for Petri...
This study presents a portion of the results for the four-year Taiwan National Science Council Project, Development and Assessment of Science Courses Integrating Indigenous Culture and Collaborative Problem Solving(CPS). The research team has already conducted three years of teaching experiments at Atayal Rainbow Elementary School in Nan'ao Atayal tribes. Results demonstrate trained Atayal students...
This paper presents a complete framework for image-based navigation from an image memory that exploits mutual information and does not need any feature extraction, matching or any 3D information. The navigation path is represented by a set of automatically selected key images obtained during a prior learning phase. The shared information (entropy) between the current acquired image and nearby key...
According to World Health Organization (WHO), currently in the World there are around 39 million persons visually impaired. These persons need developing several daily activities in the same way that they are done by people without visual impairments. These activities can be very difficult or dangerous for visually impaired persons (e.g. using public transport, crossing streets, walking alone, etc...
This paper proposes a place cell model allowing place recognition in the context of robot autonomous navigation. The robustness of this approach lies in the fact that even if one or several patterns characterizing the place are removed or not visible anymore, a place can still be recognized. The recognition process in this work is improved with respect to the state-of-the-art place cells approach...
This paper presents an approach of human-vehicle cooperative navigation system as an implementation of Advanced Driving Assistance Systems (ADAS). The driver-in-the-loop system contains commands by a human driver, which are verified and corrected by the interactive navigation algorithm based on Image-based Dynamic Window Approach (IDWA). Several autonomous driving components are involved including...
This paper presents an experimental evaluation of physical human-human interaction in lightweight condition using a one degree of freedom robotized setup. It explores possible origins of Physical Human-Human communication, more precisely, the hypothesis of a time based communication. To explore if the communication is correlated to time a, statistical state machine model based on physical Human-Human...
AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detection pipeline, so even small improvements in marker detection can translate to a faster tag detection system. We incorporated lessons learned from implementing and supporting the AprilTag...
Robotic tasks are becoming increasingly complex, and with this also the robotic systems. This requires new tools to manage this complexity and to orchestrate the systems to fulfill demanding autonomous tasks. For this purpose, we developed a new graphical tool targeting at the creation and execution of robotic tasks, called RAFCON. These tasks are described in hierarchical state machines supporting...
We present the first demonstration of end-to-end far-to-near situated interaction between an uninstrumented human user and an initially distant outdoor autonomous Unmanned Aerial Vehicle (UAV). The user uses an arm-waving gesture as a signal to attract the UAV's attention from a distance. Once this signal is detected, the UAV approaches the user using appearance-based tracking until it is close enough...
In this work, we grant robot agents the capacity to sense and react to their human supervisor's changing trust state, as a means to maintain the efficiency of their collaboration. We propose the novel formulation of Trust-Aware Conservative Control (TACtiC), in which the agent alters its behaviors momentarily whenever the human loses trust. This trust-seeking robot framework builds upon an online...
In this paper we propose a new approach to recovering the relative position and orientation of a pair of platforms moving on the plane by fusing the kinds of estimates provided by visual odometry systems with distance measurements obtained from ranging radio systems. By combining these two complementary sources of information we are able to provide estimates that could not be obtained using either...
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