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Found 5 papers, 1 papers with code
Self-supervised 6-DoF Robot Grasping by Demonstration via Augmented Reality Teleoperation System
Most existing 6-DoF robot grasping solutions depend on strong supervision on grasp pose to ensure satisfactory performance, which could be laborious and impractical when the robot works in some restricted area.
Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum
In-hand object manipulation is challenging to simulate due to complex contact dynamics, non-repetitive finger gaits, and the need to indirectly control unactuated objects.
Learning to Manipulate Amorphous Materials
We produce a final animation by using inverse kinematics to guide a character's arm and hand to match the motion of the manipulation tool such as a knife or a frying pan.
Learning Novel Policies For Tasks
Our method does this by creating a second reward function that recognizes previously seen state sequences and rewards those by novelty, which is measured using autoencoders that have been trained on state sequences from previously discovered policies.
Surface-from-Gradients: An Approach Based on Discrete Geometry Processing
In this paper, we propose an efficient method to reconstruct surface-from-gradients (SfG).
