robotic-grasping and My-Robotic-Grasping
About robotic-grasping
skumra/robotic-grasping
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
This project helps industrial automation engineers or robotics researchers equip their robotic arms with the ability to reliably pick up various objects. It takes camera images of objects within the robot's reach and identifies the best spots and angles for the robot's gripper to firmly grasp them. The output is precise instructions that guide the robot in performing effective 'antipodal' grasps, where two opposing forces hold the object securely.
About My-Robotic-Grasping
kidpaul94/My-Robotic-Grasping
Collection of Papers related to CV- & Geometry-based 6DOF Robotic Grasping
This resource curates a collection of academic papers focused on advanced robotic grasping. It compiles research on how robots can accurately detect and orient themselves to pick up objects in 3D space, primarily using computer vision and geometric methods. Robot perception and manipulation engineers will find this useful for staying updated on the latest deep learning approaches.
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