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Four students from SRM Institute of Science and Technology, Kattankulathur have brought honour to their Institution by winning the national Flipkart GRiD 2.0 Robotics Challenge held in January 2021. Their problem statement was Autonomous Stair Climbing Robot.

Team Robotronics consisting of Adrash, Ajit, Rishabh, and Shashwat (Final year B.Techstudents from the Departments of Electronics & Communication and MechanicalEngineering) emerged winners among the 500 teams that participated in the national robotics challenge organised by Flipkart.

Expressing happiness over achieving the feat, team members said they thought the stair climbing robot would be very beneficial for the real-time scenario if prototyped.

“We did it with ease and that helped us to won the award in the compaetition organised by Flipkart. For this prototyping we had a total budget of Rs.50,000,” said the team. 

A total of nine teams got selected for the grand finale out of 120 teams. The key structure to their final presentation included – High-level solution walkthrough, Hardware choices (what & why), Software Choices (what &why), Simulation and Demo, Differentiation factor in the solution, and Feasibility & Challenges if actual prototyping is done.

“We provided feasible solutions to many specific problems. A lot of new innovations were done in order to completely solve the problem statement. We provided a generalized solution which was compatible with most of the work environments,” said winning team from SRM Institute.

The team was guided by Dr Rajesh Agarwal, Assistant Professor, Department of Electronics and Communication Engineering, SRMIST.  

The team was awarded an Electronic Gift Voucher (EGV) of Rs.1,50,000 for emerging as national winners. They also were awarded EGV of Rs 1500 for clearing the first round and getting into the top 50 teams and Flipkart Goodies. 

The top nine teams, selected to the finale, were from some of India’s most prestigious institutions and they showcased their solutions for problem statements on Autonomous Stair Climber, Autonomous Indoor Drone, and Intelligent Picking.

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