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Found 5 papers, 4 papers with code
SpeedFolding: Learning Efficient Bimanual Folding of Garments
Folding garments reliably and efficiently is a long standing challenge in robotic manipulation due to the complex dynamics and high dimensional configuration space of garments.
Learning Time-optimized Path Tracking with or without Sensory Feedback
In this paper, we present a learning-based approach that allows a robot to quickly follow a reference path defined in joint space without exceeding limits on the position, velocity, acceleration and jerk of each robot joint.
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
The design of the action space used for reinforcement learning ensures that all computed trajectories comply with kinematic joint limits.
Self-supervised Learning for Precise Pick-and-place without Object Model
Flexible pick-and-place is a fundamental yet challenging task within robotics, in particular due to the need of an object model for a simple target pose definition.
Robotics
Robot Learning of Shifting Objects for Grasping in Cluttered Environments
We developed an algorithm that can learn, in addition to grasping, to shift objects in such a way that their grasp probability increases.
Robotics
