In this paper we present the Yale-CMU-Berkeley (YCB) Object and Model set, intended to be used for benchmarking in robotic grasping manipulation research. The objects set are designed cover various aspects of problem; it includes daily life with different shapes, sizes, textures, weight rigidity, as well some widely tests. associated database provides high-resolution RGBD scans, physical properties geometric models easy incorporation into planning software platforms. A comprehensive...

In this article, we present the Yale-Carnegie Mellon University (CMU)-Berkeley (YCB) object and model set, intended to be used facilitate benchmarking in robotic manipulation research. The objects set are designed cover a wide range of aspects problem. includes daily life with different shapes, sizes, textures, weights, rigidities as well some widely tests. associated database provides high-resolution red, green, blue, plus depth (RGB-D) scans, physical properties, geometric models for easy...

In this paper, we present an image and model dataset of the real-life objects from Yale-CMU-Berkeley Object Set, which is specifically designed for benchmarking in manipulation research. For each object, presents 600 high-resolution RGB images, RGB-D images five sets textured three-dimensional geometric models. Segmentation masks calibration information are also provided. These data acquired using BigBIRD Scanning Rig Google Scanners. Together with dataset, Python scripts a Robot Operating...

The state of the art in computer vision has rapidly advanced over past decade largely aided by shared image datasets. However, most these datasets tend to consist assorted collections images from web that do not include 3D information or pose information. Furthermore, they target problem object category recognition - whereas solving instance might be sufficient for many robotic tasks. To address issues, we present a high-quality, large-scale dataset instances, with accurate calibration every...

We consider the problem of autonomously bringing an article clothing into a desired configuration using general-purpose two-armed robot. propose hidden Markov model (HMM) for estimating identity and tracking article's throughout specific sequence manipulations observations. At end this sequence, is known, though not necessarily desired. The estimated are then used to plan second that brings configuration. relaxation strain limiting finite element cloth simulation can be solved via convex...

We present an object recognition system which leverages the additional sensing and calibration information available in a robotics setting together with large amounts of training data to build high fidelity models for dataset textured household objects. then demonstrate how these can be used highly accurate detection pose estimation end-to-end robotic perception incorporating simultaneous segmentation, classification, fitting. The handle occlusions, illumination changes, multiple objects,...

Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories satisfy a system's can be very time-consuming and often exceedingly difficult. We present an algorithm for automatically generating large classes of difficult by learning parameterized versions desired maneuvers from multiple expert demonstrations. Our has enabled the successful execution several aerobatic our autonomous helicopter.

We consider the problem of building high-quality 3D object models from commodity RGB and depth sensors. Applications such a database include instance recognition, robot grasping, virtual reality, graphics, online shopping. Unfortunately, modern reconstruction approaches have difficulties in reconstructing objects with major transparencies (e.g., KinectFusion [22]) and/or concavities visual hull). This paper presents method to fuse hull information off-the-shelf cameras cues sensors produce...

Vehicular Ad Hoc Networks (VANETs) are becoming more commonplace as a means for cars to communicate and share data on things like traffic patterns, road conditions, travel times speeds. Therefore, one of the key issues facing academics now is ensuring communication safety in VANET. There several privacy-preserving verification techniques VANETs. However, they do have complex calculations issues. This research presented an operating platform 5G-based VANET architecture that combines...

Along with the introduction of Internet Things (IoT), design image processing systems is reachable distantly by applications over internet basic need today's life. These are intended for important data must possess an original structural filtering and processing. In this paper, we present system that easily reached implemented using a Raspberry-Pi FPGA interface. The realization was completed means low cost ZedBoard Zynq 7000 Raspberry-pi. Chip utilization has been noted.

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This paper focuses on the implementation, architecture and on-going design of a vehicle when it encounters with an object. The is driven, guided controlled by utilizing array sensors software. Many collision warning avoidance systems were made known at beginning 21 st century but automobiles won’t necessarily be able to make judgment whether child or empty cardboard box which can avoided. Collision avoided depending upon interaction between human car.  Firstly algorithms used reach...