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Automatisierungstechnik
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An Adaptive Control Approach for Opening Doors and Drawers Under Uncertainties
A sensorimotor learning framework for object categorization
Classification of Rigid and Deformable Objects Using a Novel Tactile Sensor
Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting
Discrete Bimanual Manipulation for Wrench Balancing
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
Fashion Landmark Detection and Category Classification for Robotics
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human–Robot Interaction
Learning Deep Neural Policies with Stability Guarantees
Learning Stable Normalizing-Flow Control for Robotic Manipulation
Mind the Gap - Robotic Grasping under Incomplete Observation
Model-free robot manipulation of doors and drawers by means of fixed-grasps
"Open Sesame!" Adaptive Force/Velocity Control for Opening Unknown Doors
Policy Learning with Embedded Koopman Optimal Control
Predicting Slippage and Learning Manipulation Affordances through Gaussian Process Regression
Robust motion planning for non-holonomic robots with planar geometric constraints