4.1 Article

Grasp detection via visual rotation object detection and point cloud spatial feature scoring

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

A Real-Time Robotic Grasping Approach With Oriented Anchor Box

Hanbo Zhang et al.

Summary: The paper introduces a vision-based, robust, and real-time robotic grasping approach with fully convolutional neural network. The use of oriented anchor boxes and angle matching allows for more accurate and efficient grasp prediction.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015

Clemens Eppner et al.

AUTONOMOUS ROBOTS (2018)

Article Automation & Control Systems

Integrating Different Levels of Automation: Lessons From Winning the Amazon Robotics Challenge 2016

Carlos Hernandez Corbato et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Robotics

Real-World Multiobject, Multigrasp Detection

Fu-Jen Chu et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

Article Robotics

Deep learning for detecting robotic grasps

Ian Lenz et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2015)