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Found 5 papers, 0 papers with code
Learning Behavior Trees with Genetic Programming in Unpredictable Environments
Modern industrial applications require robots to be able to operate in unpredictable environments, and programs to be created with a minimal effort, as there may be frequent changes to the task.
A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration
In this work, we introduce the problem of cross-modal visuo-tactile object recognition with robotic active exploration.
A Human Action Descriptor Based on Motion Coordination
The second step enriches the descriptor considering minimum and maximum joint velocities and the correlations between the most informative joints.
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation
This way, the occurrence of object slipping during the learning procedure, which we consider an irreversible event, is significantly reduced.
Probabilistic Model Learning and Long-term Prediction for Contact-rich Manipulation Tasks
Learning dynamics models is an essential component of model-based reinforcement learning.
Robotics
