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Learning enables adaptation in cooperation for multi-player stochastic games
Interactions among individuals in natural populations often occur in a d...
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Dual Temporal Memory Network for Efficient Video Object Segmentation
Video Object Segmentation (VOS) is typically formulated in a semi-superv...
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Transparently Capturing Request Execution Path for Anomaly Detection
With the increasing scale and complexity of cloud systems and big data a...
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Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
Multiple sequence to sequence models were used to establish an end-to-en...
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Modal-based Kinematics and Contact Detection of Soft Robots
Soft robots offer an alternative approach to manipulate inside the const...
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Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems
Stochastic approximation (SA) algorithms have been widely applied in min...
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Simplified Kinematics of Continuum Robot Equilibrium Modulation via Moment Coupling Effects and Model Calibration
Recently, a new concept for continuum robots capable of producing macro-...
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Tendon-driven Underactuated Hand Design via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces
Grasp synergies represent a useful idea to reduce grasping complexity wi...
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A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration
The Gaussian stochastic process (GaSP) is a useful technique for predict...
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Medical Technologies and Challenges of Robot Assisted Minimally Invasive Intervention and Diagnostics
Emerging paradigms furthering the reach of medical technology deeper int...
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Fortran interface layer of the framework for developing particle simulator FDPS
Numerical simulations based on particle methods have been widely used in...
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Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery
In this work, we develop an approach for guiding robots to automatically...
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