Autonomous Two-Stage Object Retrieval Using Supervised and Reinforcement Learning

Autonomous Two-Stage Object Retrieval Using Supervised and Reinforcement Learning

Humans have been sending tele-operated robots into hazardous areas in an attempt to preserve life for many years. The task they are presented with is often challenging and requires cognitive abilities, that is, the ability to process information in order to apply it to a different situation. In this...

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Bibliographic Details
Main Authors: Rouillard, T., Howard, Ian, Cui, Lei
Format: Conference Paper
Language:English
Published: IEEE 2019
Subjects:
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Robotics
Engineering
Intelligent robots
Reinforcement learning
Computer vision
Robotic Manipulation
ALGORITHM
Online Access:http://purl.org/au-research/grants/arc/DE170101062
http://hdl.handle.net/20.500.11937/80592

Internet

http://purl.org/au-research/grants/arc/DE170101062
http://hdl.handle.net/20.500.11937/80592

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