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Found 6 papers, 3 papers with code
3DSGrasp: 3D Shape-Completion for Robotic Grasp
However, in practice, PCDs are often incomplete when objects are viewed from few and sparse viewpoints before the grasping action, leading to the generation of wrong or inaccurate grasp poses.
Robotic Learning the Sequence of Packing Irregular Objects from Human Demonstrations
The human demonstrations were collected using our proposed VR platform, BoxED, which is a box packaging environment for simulating real-world objects and scenarios for fast and streamlined data collection with the purpose of teaching robots.
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study
In contrast, we argue that if these systems are to be used to guide action, necessarily, the actions the robot performs should be encoded in the predicted frames.
Applying Domain Randomization to Synthetic Data for Object Category Detection
Recent advances in deep learning-based object detection techniques have revolutionized their applicability in several fields.
Automatic generation of object shapes with desired functionalities
3D objects (artefacts) are made to fulfill functions.
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots
One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on objects, and what their effects will be, i. e., the ability to perceive object affordances.
