Robotic grasping of novel objects based on a feature detection algorithm trained on minimal data

In recent years, the integration of deep learning into robotic grasping algorithms has allowed for widespread advancements in this field. Most of the current deep learning-based grasping algorithms must be trained on huge amounts of data to deal with a large variety of objects. However, it is ineffi...

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Bibliographic Details
Main Author: Khor, Kai Sherng
Other Authors: Cheah Chien Chern
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177695
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Institution: Nanyang Technological University
Language: English