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Control of Physical Human-Robot Interaction using Self-Evaluating Deep Motion Intention Estimation for Industrial Robotic Applications
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Robust and Reliable Deep Learning by Synergizing with Pre-Trained Models
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A Low-Cost pH Monitoring and Control System for Algae Cultivation
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A Generalized Model Reference Adaptive Controller-Reinforcement Learning Framework for Addressing Modeling Parametric Uncertainty
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Designing and Modelling Multi-Stable Origami Structures for Adaptive Applications
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Value and Policy Approximation for Two-player General-sum Differential Games
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Design and Manufacturing of a Shape Memory Alloy-Based Actuator
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Evolving Collective Behavior in Self-Organizing Particle Systems
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Incorporating Causal Information using Temporal-Logic-Based Causal Diagram in Reinforcement Learning
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Benefits and Challenges of Virtual Reality-Based Teleoperation of Robotic Arms
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