This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …

Rigorously testing autonomy systems is essential for making safe self-driving vehicles (SDV)
a reality. It requires one to generate safety critical scenarios beyond what can be collected …

Designing robust end-effector plays a crucial role in performance of a robot workcell. Design
automation of industrial grippers' fingers/jaws is therefore of the highest interest in the robot …

We present an accurate, real-time approach to robotic grasp detection based on
convolutional neural networks. Our network performs single-stage regression to graspable …

We present TOCH, a method for refining incorrect 3D hand-object interaction sequences
using a correspondence based prior learnt directly from data. Existing hand trackers …

Combined efforts in the fields of neuroscience, computer science, and biology allowed to
design biologically realistic models of the brain based on spiking neural networks. For a …

This paper focuses on the problem of learning 6-DOF gras** with a parallel jaw gripper in
simulation. Our key idea is constraining and regularizing gras** interaction learning …

Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …