Effectiveness of engineering practices for the acquisition and employment of robotic systems
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Automated alert generation to improve decision-making in human robot teams
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Circuit design with nano electronic devices for biomimetic neuromorphic systems
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Single-image geometry estimation for various real-world domains
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Sensory acquisition for emergent body representations in neuro-robotic systems
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Machine learning in interacting multi-agent systems
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Green learning for 3D point cloud data processing
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Understanding sources of variability in learning robust deep audio representations
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A deep learning approach to online single and multiple object tracking
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Learning logical abstractions from sequential data
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Memristor device engineering and  memristor-based analog computers for mobile robotics
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Active state learning from surprises in stochastic and partially-observable environments
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Robot mapping with proprioceptive spatial awareness in confined and sensor-challenged environments
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Reward shaping and social learning in self- organizing systems through multi-agent reinforcement learning
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Traveling sea stars: hydrodynamic interactions and radially-symmetric motion strategies for biomimetic robot design
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Multi-robot strategies for adaptive sampling with autonomous underwater vehicles
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Relative positioning, network formation, and routing in robotic wireless networks
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Recognition and characterization of unstructured environmental sounds
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Federated and distributed machine learning at scale: from systems to algorithms to applications
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insideOut: Estimating joint angles in tendon-driven robots using Artificial Neural Networks and non-collocated sensors
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Enhancing collaboration on the edge: communication, scheduling and learning
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Intelligent Learning Quotient
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Development of biologically-inspired sub-gram insect-scale autonomous robots
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Development and control of biologically-inspired robots driven by artificial muscles
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Decision support systems for adaptive experimental design of autonomous, off-road ground vehicles
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