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Found 6 papers, 1 papers with code
Optimizing BioTac Simulation for Realistic Tactile Perception
Furthermore, our results reveal that the XGBoost regressor and transformer outperform traditional feed-forward neural networks in this task.
Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks
In the literature, there is no consensus about which feedback frequency is optimal or at which time the feedback is most beneficial.
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
Fully randomized simulations and fine-tuning show differentiated results and translate better to the real robot than the other approaches tested.
Visuo-Haptic Object Perception for Robots: An Overview
The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop solutions with a similar proficiency in autonomous robots.
AU Dataset for Visuo-Haptic Object Recognition for Robots
This dataset was developed to help fill this void and presents multimodal data for 63 objects with some visual and haptic ambiguity.
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
This is independent of the underlying optimization procedure, making the approach promising for many existing hyperparameter optimization algorithms.
