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Found 5 papers, 2 papers with code
Grasping in the Dark: Zero-Shot Object Grasping Using Tactile Feedback
Several end-effector designs for robust manipulation have been proposed but they mostly work when provided with prior information about the objects or equipped with external sensors for estimating object shape or size.
Robotics
Deep Differentiable Grasp Planner for High-DOF Grippers
We present an end-to-end algorithm for training deep neural networks to grasp novel objects.
Robotics
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks
The quality of the grasp poses is on par with the groundtruth poses in the dataset.
Robotics
Extracting Contact and Motion from Manipulation Videos
When we physically interact with our environment using our hands, we touch objects and force them to move: contact and motion are defining properties of manipulation.
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
We use this philosophy to design a minimalist sensori-motor framework for a quadrotor to fly though unknown gaps without a 3D reconstruction of the scene using only a monocular camera and onboard sensing.
Robotics
