In this article, a step-walker robot is introduced. In recent years too many explorer and moving robots are designed and manufactured. These kinds of robots need a mechanism for climbing stairs or steps to explore and...
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In this article, a step-walker robot is introduced. In recent years too many explorer and moving robots are designed and manufactured. These kinds of robots need a mechanism for climbing stairs or steps to explore and discover all sections of a building. This introduced mechanism is an optimum mechanism in terms of energy consumption while climbing a step or stair with a specific altitude. The robot which is introduced in this article contains two axes. Each axis can change its Vertical position independently. This position changes upon the stair or step's height. When the robot meets a step or stair, it can climb by changing its wheel's axes alternatively. This robot's cinematic and 3D modeling that will be used for choosing the proper DC motors and other essentials for making robot, is done by MATLAB and CATIA software solution package.
In this chapter we wrap up our literature investigation, pointing out the key focuses and requirements to be considered. We will go through our evaluations upon actuators, sensors, control systems and we will present ...
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Starting from the user’s requirements previously defined, a new soft robotics approach was chosen and developed in order to overcome the criticalities arisen in the analysis of the state of the art. One of the key po...
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The chapter presents the design of the device actuators and sensors in terms of concept developing, dimensioning, testing and prototyping. Inspired by soft robotics concept, the design of actuators is based on the cha...
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Image registration is increasingly being used to help radiologists when comparing temporal mammograms for lesion detection and classification. This paper evaluates the use of image and deformation features extracted f...
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The recent years have shown the emergence of heterogeneous system architecture (HSA), which offers massive computational power assembled into a compact design. computer vision applications with massive inherent parall...
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We present our Small Size League (SSL) robot soccer team, CMDragons, which performed strongly at the RoboCup'13 competition, placing second out of twenty teams after a prolonged final match ending in penalty shoot...
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ISBN:
(纸本)9781634391313
We present our Small Size League (SSL) robot soccer team, CMDragons, which performed strongly at the RoboCup'13 competition, placing second out of twenty teams after a prolonged final match ending in penalty shoot-outs. We briefly present the robots' hardware and individual skills, and then focus on our multi-robot passing, attack, and defense planning and execution in the challenging SSL adversarial multi-robot environment. We introduce a pass-ahead behavior, as well as a new dynamic two-stage planner, Coerce and Attack, which explicitly considers opponent defense to hypothetical attack patterns. The Coerce stage generates a coerce attack formation to coerce the opponent robots into leaving strategic openings. The Attack stage modifies the coerce attack pattern in a fluid manner to exploit openings in the defense using pass-ahead to attempt to score. We further present our threat-based defensive multi-robot algorithm, which identifies potential threats based on the opponent positioning and plans the defense accordingly. We present the performance of CMDragons at RoboCup'13 in terms of metrics that evaluate the effectiveness of the low-level skills as well as the high-level defense and offense.
作者:
Samperi, KatrinaHawes, Nick
Aston Institute for Systems Analytics Aston University Birmingham United Kingdom Intelligent Robotics Lab.
School of Computer Science University of Birmingham Birmingham United Kingdom
Rapidly exploring randomised trees (RRTs) are a useful tool generating maps for use by agents to navigate. A disadvantage to using RRTs is the length of time required to generate the map. In large scale environments, ...
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This paper reports on a 3D photomosaicing pipeline using data collected from an autonomous underwater vehicle performing simultaneous localization and mapping (SLAM). The pipeline projects and blends 2D imaging sonar ...
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This paper reports on a 3D photomosaicing pipeline using data collected from an autonomous underwater vehicle performing simultaneous localization and mapping (SLAM). The pipeline projects and blends 2D imaging sonar data onto a large-scale 3D mesh that is either given a priori or derived from SLAM. Compared to other methods that generate a 2D-only mosaic, our approach produces 3D models that are more structurally representative of the environment being surveyed. Additionally, our system leverages recent work in underwater SLAM using sparse point clouds derived from Doppler velocity log range returns to relax the need for a prior model. We show that the method produces reasonably accurate surface reconstruction and blending consistency, with and without the use of a prior mesh. We experimentally evaluate our approach with a Hovering Autonomous Underwater Vehicle (HAUV) performing inspection of a large underwater ship hull.
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