Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gate...
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Visual Place Recognition (VPR) has seen significant advances at the frontiers of matching performance and computational superiority over the past few years. However, these evaluations are performed for ground-based mo...
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This paper presents an agile reactive navigation strategy for driving a non-holonomic ground vehicle around a preset course of gates in a cluttered environment using a low-cost processor array sensor. This enables mac...
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The easiness at which adversarial instances can be generated in deep neural networks raises some fundamental questions on their functioning and concerns on their use in critical systems. In this paper, we draw a conne...
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We present an anytime Monte Carlo tree search (MCTS) algorithm to generate real-time, near-optimal search paths in large subsea environments. The MCTS planner continuously builds a tree of the search space until eithe...
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We present an anytime Monte Carlo tree search (MCTS) algorithm to generate real-time, near-optimal search paths in large subsea environments. The MCTS planner continuously builds a tree of the search space until either the allowed time per move is reached or the budget constraint for the search mission is met. In order to improve the performance of the MCTS planner, we propose a novel heuristic action selection policy to determine the value of a leaf node. The proposed heuristic is tailored to problems where making a turn incurs a higher cost than moving straight, such as the case on autonomous underwater vehicles. Through extensive simulations, we show that our heuristic yields a significant performance improvement over a lawnmover path planner - a commonly employed approach in subsea search applications - and over a simple MCTS planner where actions are selected uniformly at random. In our numerical illustrations, we use a real data set abstracted from sonar measurements acquired from the Boston Harbor.
In this paper, we present a visual learning framework to retrieve a 3D model and estimate its pose from a single image. To increase the quantity and quality of training data, we define our simulation space in the near...
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Flexible tactile sensor has been extensively investigated as a key component for emerging electronics applications such as robotics,wearable devices,computer hardware,and security *** sensors based on various one-dime...
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Flexible tactile sensor has been extensively investigated as a key component for emerging electronics applications such as robotics,wearable devices,computer hardware,and security *** sensors based on various one-dimensional materials have been widely ***,precise control of the direction and distribution of these nanomaterials remains a great challenge,and it has been difficult to scale down the ***,we introduce highly sensitive integrated flexible tactile sensors based on uniform phase-change Ge_(2)Sb_(2)Te_(5)(GST)thin films that can scale device size down,at least,to micrometer *** piezoresistive effect has been observed in GST-based sensors,showing a giant gauge factor of 338.A proof of concept 5×5 sensor array functioning as a touch panel has been ***,the flexible GST tactile sensor has been utilized for monitoring of radial artery *** addition to the well-known tunable electrical and optical properties,the piezoresistive GST films provide a versatile platform for the integration of sensing,recording,and displaying functions.
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computervision, where voxel grids, mes...
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Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variet...
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