About the Project
Indo-Norwegian Collaboration in Intelligent Offshore Mechatronics Systems (INMOST) will establish the long-term collaboration between highly reputed Indian universities which include National Institute of Technology Goa(NIT Goa), Indian Institute of Technology, Tirupati (IIT Tirupati), Indian Institute of Technology, Palakkad (IIT Palakkad) and Indian Institute of Technology, Indore (IIT Indore), Norwegian universities, University of Agder (UiA) and Norwegian University of Science and Technology (NTNU), and Norwegian Research Center (NORCE) in world-class research and education.
This project considers broad areas of research in the fields of oil and gas industry, wind energy, robotics and automation by applying advanced control, robotics and vision, smart sensing, decentralized wireless communications, in-network processing and intelligence for wireless sensor and communication networks, machine and deep learning for data analytics, energy harvesting based smart electronic systems, cognitive control and adaptive learning in offshore mechatronics systems.
The key objectives of the INMOST project are to:
- Strengthen collaborative network between industry and academia and develop models for technology transfer, innovation and entrepreneurship.
- Increased value creation and enhanced innovation by using smart sensing, machine learning, advanced control techniques in offshore mechatronics systems.
- Facilitate education and knowledge sharing through better mobility for students and researchers. iv). Create an arena for generation of research and innovation projects.
- Increased utilization of research and educational infrastructure both in Norway and India. vi). Integrate professionals from industries and academics through workshops, seminars, webinars and summer/winter schools.
Funding
The INMOST project is funded through the Research Council of Norway INTPART scheme
Period: 2020 – 2024
Norsk
Prosjektet INMOST er et samarbeid mellom India og Norge om intelligente offshore mekatronikk-systemer der en etablerer et langsiktig samarbeidet mellom høyt anerkjente indiske universiteter for forskning og utdanning i verdensklasse: National Institute of Technology Goa (NIT Goa), Indian Institute of Technology, Tirupati (IIT Tirupati), Indian Institute of Technology, Palakkad (IIT Palakkad) og Indian Institute of Technology, Indore (IIT Indore), Universitetet i Agder (UiA) og Norges teknisk-naturvitenskapelige universitet (NTNU), samt Norwegian Research Center (NORCE).
Prosjektet dekker brede forskningsområder innen olje- og gassindustri, vindkraft, robotikk og automatisering ved å anvende avansert kontroll, robotikk og visjon, smarte følere, desentralisert trådløs kommunikasjon, prosessering i nettverk og intelligens for trådløs sensor og kommunikasjonsnettverk, maskin- og dyp læring for dataanalyse, energihøsting basert på smarte elektroniske systemer, kognitiv kontroll og adaptiv læring i offshore mekatronikk systemer.
Hovedfokuset i dette samarbeide er å integrere de gitte brede forskningsområdene med forskningsbasert undervisning, styrke samarbeidernettverket mellom industri og akademia,
forbedre kvaliteten på innovasjoner i slike omfattende prosjekter, involvere studenter, og integrerte offentlige og private bedrifter. Gjennom dette prosjektet skal forskere i Norge og India få gjensidig nytte i utdanning og forskning relatert til offshore mekatronikk-systemer. Partnerskapet vil tilpasse undervisningsmetoder fra de indiske partnerne til Norge og omvendt for utvikling av læreplaner til fordel for BSc/MSc/PhD studenter, samt at dette skal åpne for etterutdanninger for alle partnere i prosjektet og andre utenfor prosjektkonsortiet.
Workshops
1st Indo-Norway Workshop on Emerging Learning Methods and Systems, , IIT Tirupati, India, July 15-17, 2022
1st workshop on Emerging Learning Methods and Systems (ELMS) organized as a part of our “Indo-Norwegian Collaboration in Intelligent Offshore Mechatronics Systems (INMOST) Project”, at IIT Tirupati during 15-17th July 2022 at the permanent campus.
This workshop presents the basics of various learning methods, particularly, (i) Supervised Machine Learning (ML), (ii) Deep Learning (DL), (iii) Reinforcement Learning (RL), and (iv) Social and Distributed Learning. It also presents an overview of the application of these methods to solving various system-level problems in various domains like computer vision, automotive, and industrial applications.
More details about the speakers and the program can be found at https://lnkd.in/gxznwCTB.
2nd INMOST Workshop, Indo-Norwegian Collaboration in Intelligent Offshore Mechatronics Systems, NTNU Ålesund, Norway, November 2-3, 2022
Program
- Introduction of INMOST and TRCM, Robotics and Automation, UiA, Prof. Jing Zhou
- SFI Offshore Mechatronics, UiA, Prof. Geir Grasmo
- ACPS Research Group, UiA, Prof. Linga Reddy Cenkeramaddi,
- Sensors and perception towards autonomous mooring, UiA, Asso. Prof. Ajit Jha
- Digital Twins for Vessel Life Cycle Service, NTNU, Prof. Houxiang Zhang
- Protocols and Standards for Simulation and Co-simulation for Demanding Maritime Operations, NTNU, Dr. Lars Ivar Hatledal
- Data-based modelling of ships For Motion Prediction and Control Allocation, NTNU, Dr. Robert Skulstad
The 3rd INMOST Workshop, Indo-Norwegian Collaboration in Intelligent Offshore Mechatronics Systems, UiA Grimstad, Norway, June 19, 2023
| Monday | Program |
| 9:00-9:30 | Registration |
| 9:30-9:45 | Welcome and Introduction Prof. Jing Zhou, UiA |
| 9:45-10:00 | Autonomous and Cyber-Physical Systems Research Group and Research Prof. Linga Reddy Cenkeramaddi, UiA |
| 10:00-10:30 | “End to End Sensors and Data Analytics for Industrial Applications” Assoc. Prof. Ajit Jha, UiA |
| 10:30-10:45 | Coffee break |
| 10:45-11:00 | “Learning Based Adaptive Dynamic Programming of Non-Linear Systems” Emil Mühlbradt Sveen, PhD, UiA |
| 11:00-11:15 | “Learning Collaboration in Dynamic Multi-Agent Setting” Jayant Singh, PhD, UiA |
| 11:15-11:30 | “Throughput Maximization in Delay-Critical and Energy-Aware SW-UAV-WNs Using Reinforcement Learning” Dr. Srinivas Reddy Yeduri, Postdoc, UiA |
| 11:30-11:45 | “Estimation of UAV Count Using Acoustic Signatures and Machine Learning” Wilson Ayyanthole Nelson, PhD, UiA |
| 11:45-12:00 | “Generalisability and Adaptability of Deep Learning models” Aveen Dayal, UiA |
| 12:00-13:00 | Lunch |
| 13:00-13:45 | “Digital twin for offshore marine operations” Prof. Houxiang Zhang, NTNU |
| 13:45-14:30 | “Open Lab Drilling: A simulation environment for education and research” Dr. Jan Einar Gravdal, NORCE |
| 14:30-15:00 | Coffee Break |
| 15:00-15:30 | “Deep Learning Frameworks for Phase Unwrapping and 3D Reconstruction in Active Sensing” Prof. Rama Krishna Gorthi, IIT Tirupati, India |
| 15:30-16:30 | Discussion and Plan |
| 18:30-21:30 | Dinner |