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This poster discusses the implementation and technical choices of a proof of concept experience demonstrating interactive virtual characters for immersive mixed reality (MR) applications. Our interactive virtual characters are made believable through their visual appearance, physical interaction with the environment, dynamic behavior to the user and both real and virtual stimuli, and by being able...
In this paper, we propose a safe navigation algorithm for non-holonomic flying robots. To detect the static and moving obstacles, a sensor network, which consists of some time-of-flight cameras, is deployed in a three dimensional environment. The robot or a server obtains the real-time measurements of the environment from the cameras and calculates a temporarily safe robot path from the robot's current...
The robots in warehouse have boosted the efficiency and economic benefits of the logistic industrial chain. This paper provides a deep learning, single-camera-based solution to navigate vehicles in warehouse. Firstly we train a Faster R-CNN model to detect shelf-legs and tags in the captured image. To position the localized objects into the world coordinate, we then present a precise Inverse Perspective...
This paper aims to use a fleet of mobile robots, each embedding a camera, to optimize the observation of a human dynamic scene. The scene is defined as a sequence of activities, performed by a person in a same place. Mobile robots have to cooperate to find a spatial configuration around the scene that maximizes the joint observation of the human pose skeleton. It is assumed that the robots can communicate...
In this paper, a monocular vision based autonomous flight and obstacle avoidance system for a commercial quadrotor is presented. The video stream of the front camera and the navigation data measured by the drone is sent to the ground station laptop via wireless connection. Received data processed by the vision based ORB-SLAM to compute the 3D position of the robot and the environment 3D sparse map...
This paper is focused on control of a six-wheeled robotic platform used for gait pattern recording. Navigation of the platform has to be very precise to keep the path of the platform as narrow as possible and to maintain the distance between the subject and the platform to capture the gait pattern in the most natural way. A key component of the whole robotic platform is an MS Kinect v2 device which...
Advanced robot control algorithms, that are based on sensor data fusion and a lot of processing, require high computational power. Hence, most of the modern robots have their own highly efficient computers. It makes the service and assistant robots costly and still unavailable for the most of the home users. In this paper the navigation system of the humanoid NAO robot is presented that is distributed...
Two related challenges with current teleoperated robotic systems are lack of peripheral vision and awareness, and difficulty or tedium of navigating through remote spaces. We address these challenges by providing an interface with a focus plus context (F+C) view of the robot location, and where the user can navigate simply by looking where they want to go, and clicking or drawing a path on the view...
Since the appearance of humanoid robots is similar with real human, a method is proposed to discriminate these robots from real human in a perception sensor network (PSN) which uses multiple Kinects and PTZ cameras to provide the location and name of tracked human to these robots. To this end, the global map which is acquired by fusing and calibrating one local map built by a robot and the other local...
Limbless locomotion, evidenced by both biological and robotic snakes, capitalizes on these systems' redundant degrees of freedom to negotiate complicated environments. While the versatility of locomotion methods provided by a snake-like form is of great advantage, the difficulties in both representing the high dimensional workspace configuration and implementing the desired translations and orientations...
In this paper we present for the first time a complete symbolic navigation system that performs goal-directed exploration to unfamiliar environments on a physical robot. We introduce a novel construct called the abstract map to link provided symbolic spatial information with observed symbolic information and actual places in the real world. Symbolic information is observed using a text recognition...
This paper presents a universally applicable graph-based framework for the navigation of warehouse robots equipped with only monocular cameras. We strongly advocate the use of relative pose information stored in a topological map, rather than a globally consistent metric representation of the environment. We show how multiple traversals of adjacent workspaces can be naturally “stitched” together in...
An effective and accurate navigation for rescue robots in some human inaccessible sites is very necessary. This paper proposes a method of vision-based navigation with high accuracy and real-time capability. Firstly, the system overview and the experimental platform are presented. Then an image processing algorithm using classic theories, which resulted in less calculated amount, is introduced to...
This paper presents RIVERWATCH, an autonomous surface-aerial marsupial robotic team for riverine environmental monitoring. The robotic system is composed of an Autonomous Surface Vehicle (ASV) piggybacking a multirotor Unmanned Aerial Vehicle (UAV) with vertical takeoff and landing capabilities. The ASV provides the team with longrange transportation in all-weather conditions, whereas the UAV assures...
The paper proposes a wireless navigation mobile robot system for both path planning and trajectory execution within an indoor maze environment. This system consists of the mobile robot, trajectory planner, motion controller, visual sensor (CCD camera), ZigBee wireless communication device and a maze terrain. The camera is used to capture images of the mobile robot within the maze. Developed image...
This paper proposes a system that allows the use of natural spatial language to control a robot performing a fetch task in an indoor environment. The system processes spatial referencing language and extracts a tree structure of language chunks. The spatial language system is then grounded to a robot navigation instruction in the form of a sequence of actions based on spatial references to furniture...
Human operators play a key role in robotic exploration and search missions, as the interpretation of camera images typically requires the visual perception skills of humans. Thus one the key challenges in building effective robotic systems for such missions lies in developing good operator interfaces. In this paper, we present a novel asynchronous user-guided interface for human operators of robotic...
We propose a cooperative control scheme for a heterogeneous multi-robot system, consisting of an Unmanned Aerial Vehicle (UAV) equipped with a camera and multiple identical Unmanned Ground Vehicles (UGVs). Our control scheme takes advantage of the different capabilities of the robots. Since the system is highly redundant, the execution of multiple different tasks is possible. The primary task is aimed...
Robots will play a vital role in our future personal spaces and we need to provide ways for robots and humans to interact with each other in a way that is natural, intuitive, descriptive and unambiguous. In this paper we introduce a framework that enables a human and robot to naturally interact and communicate with each other using the idea of diagrams. The diagrams are formed by a connected set of...
We propose a method for evaluating the localization accuracy of an indoor navigation system in arbitrarily large environments. Instead of using externally mounted sensors, as required by most ground-truth systems, our approach involves mounting only landmarks consisting of distinct patterns printed on inexpensive foam boards. A pose estimation algorithm computes the pose of the robot with respect...
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