Andreas ten Pas

Latest

• Efficient and Accurate Candidate Generation for Grasp Pose Detection in SE(3)
• Towards Assistive Robotic Pick and Place in Open World Environments
• Pick and Place Without Geometric Object Models
• Learning a visuomotor controller for real world robotic grasping using simulated depth images
• Grasp Pose Detection in Point Clouds
• Open World Assistive Grasping Using Laser Selection
• High precision grasp pose detection in dense clutter
• Using Geometry to Detect Grasp Poses in 3D Point Clouds.
• Localizing Handle-Like Grasp Affordances in 3D Point Clouds