AI Enabled Robotics Technologies
Application Of Robotics & AI in Industries
Electronics & Information Technology had
driven the 3rd Industrial Revolution resulting
in the automation of Manufacturing, space
exploration, and all other such industries.
The endless possibilities of the 4th Industrial
Revolution are accelerated by the exponential innovations in the fields of Robotics, Drones, Autonomous Vehicles, Artificial Intelligence,
Internet of Things(IoT), Machine Learning(ML),
Smart Sensors, 3D Printing, Clean Energy and
Energy Storage.
The benefits of automation and digitization
are now visible in the form of emerging trends
of driverless cars and ever-expanding roles of
the autonomous ground and unmanned aerial
vehicles in all the industry sectors.
Non-Contact Condition Monitoring (NCM) System
ABOUT OUR TECHNOLOGY
A new alternate robotic inspection mechanism called as
NCM (Non-Contact Condition Monitoring) system based on robotic agents (AGV &UAV), non-contact sensors and AI platforms are introduced to complement and overcome the shortcomings of the conventional inspection of the buried pipelines by ILI (In Line Inspection) tool.
The capability of predicting the yet to happen future anomalies in the pipeline is not possible with the conventional inspection methods. So, a novel predictive maintenance mechanism based on Artificial Intelligence (AI) and Machine Learning (ML) for inspection and management of the buried metallic pipes are also integrated.
Simhatel Professionals & core Expertise
Dr. Amit Shukla
Chairperson, Centre of AI & Robotics
(CAIR), IIT Mandi, India
Robotics, AI/ML, Drones, Electric Vehicles
Dr. Hamad Karki
Dr. Rahul Sevakula
Associate Professor, KUST, Abu Dhabi, UAE
Robotics, Mechatronics, Control Systems
AI/ML Expert,
PhD IIT Kanpur
Mr. Jayakumar
Senior R&D Technologist
Head of IOT at DEWA, Dubai
NCM FEATURES
All terrain ground vehicle that Identifies buried pipeline and its depth autonomously
Aerial monitoring and inspection using UAV
Autonomous pipeline navigation and geo-tagging
Autonomous and real time identification of pipeline defects
Autonomous tagging of defect location using high accuracy GPS device
Autonomous and real time identification of pipeline coating defects
AI driven powerful engine for accurate forecasting
Future predictions about abnormal events