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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...
Breast cancer is the most common cancer in female. Accuracy of breast biopsy intervention is necessary for the certain breast cancer diagnosis. Many breast navigation systems have been developed in the past time to cope with this uncertainty, however, the worthwhile accuracy could not yet reach due to the breast deformation during the intervention. The concept of breast mathematical model to simulate...
Navigation is one of the key issues of biped robot, especially in complicated and uncertain human-living environment. There have been challenges for ensuring the stability, efficiency and security of the biped navigation system. In this paper, a framework utilizing sampling-based footstep planner is proposed for the simulation of the biped navigation. Sensor fusion method is adopted to process and...
In this paper, we propose a novel pictograph detection scheme by removing miss matching points. In our previous work, we developed a robot navigation which uses only one CCD camera equipped on the robot and estimates localize self-position by pictographs on a general environment. However, our system sometimes misjudges feature points on the background as feature points on pictographs. Threfore, our...
The advent of low-cost, functional robots has promoted swarm robotics research. However, an area of research that is yet untouched is how these types of robots could aid in teaching STEM subjects. In particular, there is little work concerning mathematics at the elementary level. The Kilobot robot's size, cost, and functionality offers a good test-bed to explore its use as a pedagogical tool. This...
Most multi-robot task allocation algorithms are concerned with the allocation of individual tasks to single robots. However certain types of tasks require a team of robots for their execution, and for the allocation of such tasks non-conflicting robot teams have to be formed. Most of the existing allocation algorithms for such tasks mainly address the robot-team formation and the tasks are allocated...
With the availability of low-cost micro aerial vehicles (MAVs), unmanned aerial vehicles (UAVs) quickly gain popularity and application potential. This requires techniques that can be understood by non-experts and flexibly applied for rapid prototyping. Visual tracking is an essential task with many applications, such as autonomous navigation and scene acquisition. While marker-less methods emerge,...
This manuscript presents an autonomous navigation of a mobile robot using SLAM, while relying on an active stereo vision. We show a framework of low-level software coding which is necessary when the vision is used for multiple purposes such as obstacle discovery. The built system incorporated a number of SLAM based routines while replying on stereo vision mechanism. The system was implemented and...
Navigation through an intersection is a fundamental task that will enable an autonomous car to operate in a real traffic environment. Previous studies about intersection navigation generally assume vehicle to vehicle communication ability for all of the vehicles. Since this is unattainable in the near future, we focus on the scenario that vehicles on the road cannot communicate with each other. A...
In this paper, we consider the problem of formation building in a 3D space for a group of mobile robots defined by the three degrees of freedom kinematics equations with the constraints on the mobile robots' angular and linear velocities. We present a decentralized control law for the robots so that they move in a given geometric configuration from any initial position. Simulation results demonstrate...
Small mobile robots often have very limited computational resources, but should still be able to navigate robustly in spacious unknown environments. While local navigation already requires high-resolution maps for obstacle avoidance and path planning, the global navigation task should aim to consume as little resources as possible but still enable the robot to robustly find the way to important places...
The paper presents a novel reactive algorithm for safe navigation of mobile robots in uncertain complex dynamic environments. The proposed law is computationally non-demanding, directly converts the current observation into the current control, and does not require measurements of the velocities, shapes, or orientations of the obstacles. It is applicable to scenes with time-varying and deforming obstacles...
Mobility assistance for wheelchair navigation is typically based on the shared control paradigm. Traditionally, control swaps from user to machine depending either on a trigger mechanism or on a explicit user request. Alternatively, in collaborative control approaches both user and robot contribute to control at the same time. However, in this case it is necessary to decide how much impact the user...
Recently, the control of telepresence robots is still a challenge for researchers. In this paper, we propose a method to realize a more natural assisted navigation for telepresence robots during teleoperation. Different from existing approaches, the proposed method utilizes an omni-directional chassis which is realized by a three wheels drive (3WD) mechanism. Without using any expensive 3D sensing...
This paper proposes a global navigation strategy for autonomous vehicle combining sensor based control and digital maps information. In order to avoid localization problems in urban environments, this approach intends to solve the global navigation focusing on two local navigation tasks: road lane following and road intersection maneuvers. For that, it is important to use digital maps, once they provide...
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