Nodal Centre for Robotics and AI (NCRAI)
NCRAI is being established at Govt. Engineering College, Thrissur with the following objectives:
● To facilitate frontline research in Robotics and Artificial Intelligence.
● To organize training and skill development programmes for technical institutes in the field of Robotics and AI.
● To develop new products and solutions to the industry.
Major Equipments Details
Specialized Equipment Name
Equipments Details
Utilization
Lidar
Make : Robosense, 16 Channel Laser Field Of View 300 Elevation 0-360 Degree Azimuth Range 150m
Campus Mapping For Navigation Of Self Driving Cars
Dual Arm Collaborative Robot
Make : Aubo I5 No. of Arms: 2 Degrees Of Freedom 6 Gripper Pneumatic Collaborative Robot ROS Enabled
Manufacturing Automation
Workstation Computer
Intel Xeon Workstation with NVDIA Quadro P4000 GPU
For AI based research
Mechanical Workshop
Lathe, Drilling Machine Hand Tools
General works
Electronic Items
Sensors and Actuators , Variable power supply
ATV
All Terrain Vehicle
For Vehicle Automation Studies
3D camera
Intel Realsence SR300, D435, Kinect V1, Kinect V2 ZED2
For computer vision research
Funded Research projects:
● Cancer Detection Research Fund from Bio informatics Division, Ministry of Information Technology Govt. Of India, Rs 16 Lakh Project status : Completed in 2022.
● MODROB funding from AICTE Rs 17.1 Lakh for purchasing Single arm collaborative robot – Completed in 2022
● Coconut Development Board Funding of 2.2 Lakh rupees for the Development of Coconut climbing machine – Completed in 2018.
● Development of Firefighting Drone – MSME Idea Hackathon – 4.5 Lakhs – Proposed.
● Development of Human – Wildlife conflict avoiding Drone – MSME Idea Hackathon – 5 Lakhs – Proposed.
● Development of Glass Facade Cleaning Robot – MSME Idea Hackathon – 4 Lakhs – Proposed.
● Robotics development Center – Mini Industrial Unit – 30 Lakhs – Proposed.
Institute – Institute Interaction ● Development of Intelligent Pineapple Harvester – In collaboration with Kerala Agricultural University – Ongoing. ● Development of Black Pepper Harvester – In collaboration with Kerala Agricultural University – Completed in 2022.
Industry -Institute Interaction ● Development of Machine learning based Automated thermistor sorting machine to detect manufacturing defects – For Nila Tech Pvt. Ltd. – Ongoing.
Students Projects ● Developed Autonomous Drone capable of target detection and payload dropping for a National level competition conducted by SAE India. The developed drone secured first price for “Target identification” event.
● Implementation Of Voice-Assisted Collaborative Robot Assembly With Object identification In a Production Line.
● Conversion Of a Quad Bike To An Autonomous vehicle.
● Design, fabrication and analysis of Delta parallel robot
● Thrust improvisation of a electric driven fan with an afterburner.
● Prediction of surface roughness using machine learning of vibration signals during turning operation.
● Self centering of a lathe chuck using computer vision.
● Defect identification of thermistors in manufacturing line.
Publications:
● Published 5 papers in International conference “ADVANCES IN DESIGN, MATERIALS, MANUFACTURING AND SURFACE ENGINEERING FOR MOBILITY” conducted by Society of Automotive Engineers, India. One paper received best paper award in a stream.
1. S, A., Robin, A., Sadique, A., and P P, L., “Comparative Study of a Manual and Voice-Assisted Collaborative Robot Workforce in Production Assembly Lines,” SAE Technical Paper 2022-28-0542, 2022.
2. K, S., Menon, N., Sadique, A., and P P, L., “Sensor Fusion, Mapping, Localization and Calibration of a Converted Autonomous Quad Bike,” SAE Technical Paper 2022-28-0561, 2022.
3. H Seby, AS George, A Sadique, PP Lalu, ”Implementation Of Voice-Assisted Collaborative Robot Assembly With Object Identification In A Production Line,” SAE Technical Paper 2022-28-0589, 2022.
4. TC Sedwin, MA Jayakrishnan, PP Lalu, A Sadique , “Conversion Of A Quad Bike To An Autonomous vehicle And Perfomance Assesment” SAE Technical Paper 2022-28-0590, 2022.
5. Boby, A. and Sadique, A., “Performance Assessment Of An Electric Ducted Fan With Afterburner.,” SAE Technical Paper 2022-28-0562, 2022.
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