Essays about: "cloud robotics"
Showing result 1 - 5 of 30 essays containing the words cloud robotics.
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1. A Multi-camera based Next Best View Approach for Semantic Scene Understanding
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. READ MORE
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2. Towards Cloud Native Context Aware Autonomous Robotics for IoT Applications
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Sensor networks are widely deployed around the world to measure different environmental variables over time, this general acceptance lowered the cost of installing such systems, but sometimes the requirement of the measuring makes it expensive or impossible to do. For instance, deploying sensors in a hard-to-reach area or just measuring for a brief short of time. READ MORE
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3. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE
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4. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE
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5. Robotics Approach in Mobile Laser Scanning : Generation of Georeferenced Point-based Forest Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A mobile laser scanning (MLS) system equipped with a lidar, inertial navigation system and satellite positioning can be used to reconstruct georeferenced point-based models of the surveyed environments. Ideal reconstruction requires accurate trajectories that are challenging to obtain in forests. READ MORE