Researches about semantic terrain mapping using data acquired from range sensors have been widely studied. And this semantic map can be used for navigation, exploration and path planning. Among the various information...
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Researches about semantic terrain mapping using data acquired from range sensors have been widely studied. And this semantic map can be used for navigation, exploration and path planning. Among the various information `traversability' is important before everything. Because only if traversability information is provided in advance, various high-level robot's tasks are possible. The proposed efficient 3d terrain mapping method use NDT grid. And by using NDT grid's covariance matrix, we define traversability using three different factors `slope', `flatness', `reliability'. Experimental results show by our proposed method traversability can be analyzed efficiently, and accurately.
As the conventional resource drains, the importance of unconventional resource grows. A directional drilling system and a hydraulic fracturing method are required to gain unconventional resources. Nowadays, the key te...
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ISBN:
(纸本)9781479960514
As the conventional resource drains, the importance of unconventional resource grows. A directional drilling system and a hydraulic fracturing method are required to gain unconventional resources. Nowadays, the key technology of the directional drilling is a rotary steerable system (RSS). Among several types of the RSS developed so far, `point-the-bit' and `push-the-bit' are the most commonly used ones. In this paper, we introduce several conventional directional drilling methods and propose a new hybrid-type rotary steerable system. This mechanism improves the steering angle by taking advantages of both `point-the-bit' and `push-the-bit' types. Its control should be synchronized all 360° for BHA(Bottom Hall Assembly) heading due to the hybrid mechanism.
This paper describes a new methodology for estimating a relative pose of two 2D laser sensors. Two dimensional laser scan points do not have enough feature information for motion tracking. For this reason, additional ...
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This paper describes a new methodology for estimating a relative pose of two 2D laser sensors. Two dimensional laser scan points do not have enough feature information for motion tracking. For this reason, additional image sensors or artificial landmarks have been used to find a relative pose. We propose the method to estimate a relative pose of 2D laser sensors without any additional sensor or artificial landmark. By scanning two orthogonal planes, we utilize only the coplanarity of the scan points on each plane and the orthogonality of the plane normals. Experiments with both synthetic and real data show the validity of the proposed method. To the best of our knowledge this works provides the first solution for the problem.
In this paper are presented simple and practical solutions to extrinsic calibration between a camera and a 2D laser sensor, without overlap. Previous methods utilized a plane or an intersecting line of two planes as a...
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In this paper are presented simple and practical solutions to extrinsic calibration between a camera and a 2D laser sensor, without overlap. Previous methods utilized a plane or an intersecting line of two planes as a geometric constraint with enough common field-of-view. These required additional sensors to calibrate non-overlapping systems. In this paper, we present two methods for solving the problem - one utilizes a plane; the other utilizes an intersecting line of two planes. For each method, an initial solution of the relative positions of a non-overlapping camera and a laser sensor, was computed by adopting a reasonable assumption about geometric structures. Then we refined it via non-linear optimization, even if the assumption was not perfectly satisfied. Both simulation results and experiments using real data showed that the proposed methods provided reliable results compared to ground-truth, and similar or better results than those provided by a conventional method.
This paper proposes a robotic simulator for horseback riding that incorporates a crank mechanism with a variable radius. In horseback riding simulations, it is necessary to efficiently generate vertical sinusoid motio...
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This paper proposes a robotic simulator for horseback riding that incorporates a crank mechanism with a variable radius. In horseback riding simulations, it is necessary to efficiently generate vertical sinusoid motion. A novel crank mechanism is proposed to change the unidirectional rotation of a motor to sinusoid wave motion with an arbitrary magnitude and frequency. On the basis of the results of a kinematic analysis, the singularity and redundancy issues of the system are presented. To avoid the singularity problem, an inverse kinematics solution is presented and the result of the simulation shows stable solution of the inverse kinematics.
We demonstrate the appropriacy of using laser distance meter as the accurate, cost-effective, simple solution for position estimation within precise 3D point cloud map in urban environment scenario. Our approach treat...
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ISBN:
(纸本)9781479953349
We demonstrate the appropriacy of using laser distance meter as the accurate, cost-effective, simple solution for position estimation within precise 3D point cloud map in urban environment scenario. Our approach treats trilateration method with minimum error selection algorithm for better position accuracy of landmark. We validate the performance of our approach through 22 landmarks measured using RTK GPS for error analysis of proposed position estimation method based on trilateration.
In this paper, we present a path planning algorithm of a 7DOF manipulator with RRT(Rapidly-exploring Random Trees). The method presents a occlusion-free and collision-free path planning algorithm. First, we present a ...
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ISBN:
(纸本)9781479939800
In this paper, we present a path planning algorithm of a 7DOF manipulator with RRT(Rapidly-exploring Random Trees). The method presents a occlusion-free and collision-free path planning algorithm. First, we present a basics of RRT algorithm which is a basic searching method for a path planning of this paper. Second, the implementation of a occlusion-free path constraints is presented. Third, the collision-avoiding path planning constraints is presented. Fourth, the integration of RRT with these two constraints is shown. The proposed method is verified by a numerical simulation with Matlab and v-rep robotics simulation tool.
In terms of the speed performance in feline galloping, relative spinal motion is observed as a key role to increase the locomotion speed. In order to prove this, a domestic cat was observed to investigate galloping ga...
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ISBN:
(纸本)9781479960514
In terms of the speed performance in feline galloping, relative spinal motion is observed as a key role to increase the locomotion speed. In order to prove this, a domestic cat was observed to investigate galloping gait patterns of the feline. Based on the measurement of the dynamic behavior of a domestic cat, we observed a significant increase in speed through correlated angular rate changes of spinal segments. To support the motion into a quadruped system, the hindlimb stance phase was analyzed using a 2 dimensional planar dynamic model to verify that the external torque generated by spinal motion plays an important role in increasing the ground reaction force in the direction of movement. To verify the analysis, the dynamic simulation demonstrating the hindlimb stance was applied with 3 parameter variations: time, phase and the amplitude of the fitted relative angular velocity profile.
This paper proposes an image feature-based real-time RGB-D (Red-Green-Blue Depth) 3D SLAM (Simultaneous Localization and Mapping) system. RGB-D data from Kinect style sensors contain a 2D image and per-pixel depth inf...
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This paper proposes an image feature-based real-time RGB-D (Red-Green-Blue Depth) 3D SLAM (Simultaneous Localization and Mapping) system. RGB-D data from Kinect style sensors contain a 2D image and per-pixel depth information. 6-DOF (Degree-of-Freedom) visual odometry is obtained through the 3D-RANSAC (RANdom SAmple Consensus) algorithm with 2D image features and depth data. For speed up extraction of features, parallel computation is performed with GPU acceleration. After a feature manager detects a loop closure, a graph-based SLAM algorithm optimizes trajectory of the sensor and builds a 3D point cloud based map.
In a MiroSOT robot soccer program, operators manually adjust color setting using global vision system for detecting objects such as robots and a ball. It is a cumbersome and time-consuming operation before the game. S...
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