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ACNMP: skill transfer and task extrapolation through learning from demonstration and reinforcement learning via representation sharing
(ML Research Press, 2020)
To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL). ...
Formation of nano-sized compounds during friction stir welding of Cu–Zn alloys: effect of tool composition
(Elsevier, 2020-12)
For the first time, the origin of tool composition effect on microstructure and mechanical properties of the friction stir welded joints has been disclosed. For this aim, nanoindentation, orientation image microscopy, and ...
Metal-organic frameworks for biomedical applications
(Elsevier, 2020)
Metal-organic frameworks (MOFs) have received significant interest in the recent years as promising candidates for biomedical applications due to their high porosities and tunable surface characteristics. The rational ...
Sampling-free variational inference of bayesian neural networks by variance backpropagation
(ML Research Press, 2020)
We propose a new Bayesian Neural Net formulation that affords variational inference for which the evidence lower bound is analytically tractable subject to a tight approximation. We achieve this tractability by (i) decomposing ...
V2G applicable electric vehicle chargers, power converters & their controllers: A review
(IEEE, 2020-05-27)
This paper aims to present various grid-connected electric vehicle (EV) charger topologies with battery technologies and power electronics converters utilized in bidirectional EV chargers including DC/DC synchronous buck ...
Prediction algorithm & learner selection for European day-ahead electricity prices
(IEEE, 2020-10)
The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. This study was intended in the first place to find out the best time series prediction ...
The impact of electric vehicle charging stations on power distribution grid by statistical and probabilistic simulation
(IEEE, 2020-10-20)
Number of electric vehicle charging stations have been increasing for the last decade. They will significantly affect the power distribution grid in terms of increased load and uncertainty. This paper analyzes the impact ...
Experimental investigation of pointing errors on drone-based FSO systems
(IEEE, 2020-10-05)
Airborne free space optical (FSO) links can be efficiently used for backhaul/fronthaul needs of future cellular networks. Unlike terrestrial FSO links where a fixed connection between two buildings is considered, airborne ...
Language inference with multi-head automata through reinforcement learning
(IEEE, 2020)
The purpose of this paper is to use reinforcement learning to model learning agents which can recognize formal languages. Agents are modeled as simple multi-head automaton, a new model of finite automaton that uses multiple ...
Design and development of a powered upper limb exoskeleton with high payload capacity for industrial operations
(IEEE, 2020-09)
This study presents the hardware development and low level controller structure of an upper-body exoskeleton that is equipped with high torque-to-weight ratio actuators. It is intended to be used in industrial applications. ...
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