Machine Learning in Robotics, with it’s demonstration in Inventory transportation
Date
2024-04
Journal Title
Journal ISSN
Volume Title
Publisher
I.O.E
Abstract
The advancement of Industry 4.0 has led to the design of various control methods
for the autonomous navigation of robots. While many works rely on Simultaneous
Localization and Mapping (SLAM) or path planning systems for trajectory
tracking, there are limitations when real-time obstacle avoidance and parameter
reconfiguration are required. However, with the recent advancements in machine
learning algorithms, new possibilities have emerged across various fields, including
autonomous navigation systems. This has led to significant developments in
the field, paving the way for innovative approaches and solutions. Our project thus,
aims bring that development up and diversify it, by joining autonomous navigation
system with other tasks. For this final year college project, we have decided to
bring autonomous navigation system with material handling system. We have decided
to make a forklift and have a demonstration of it working is a miniaturize
factory warehouse. For the environment we have choose a place with boundaries
and have workload. These workloads are to be carried to a designated place as
marked by the computer program. For this project we have decide to use a camera
only. Here in our project we have designed our own ML model along with other
subsidiary model and will train them as well to complete our stated task.
Description
The advancement of Industry 4.0 has led to the design of various control methods
for the autonomous navigation of robots. While many works rely on Simultaneous
Localization and Mapping (SLAM) or path planning systems for trajectory
tracking, there are limitations when real-time obstacle avoidance and parameter
reconfiguration are required.
Keywords
Inventory transportation, Machine Learning, Demonstration