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Found 5 papers, 1 papers with code
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other objects.
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.
Benchmarking In-Hand Manipulation
The purpose of this benchmark is to evaluate the planning and control aspects of robotic in-hand manipulation systems.
Robotics
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation
Moving a human body or a large and bulky object can require the strength of whole arm manipulation (WAM).
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning
Usually, this is achieved by precisely modeling physical properties of the objects, robot, and the environment for explicit planning.
