Harsh Kakashaniya

I am a master's student pursuing my Masters in Robotics from the University of Maryland at College Park. Completed my bachelor's degree from MIT College of Engineering, Pune(2016) in Mechanical Engineering.

Graduate Student with an extensive hands-on practical experience and interest in Robotics Systems development, SLAM , robotics motion planning, and controls. Passionate about technologies having real-world, large scale impact on society and proficient at conducting research. Along with technical know-how, possessing stellar communication, problem-solving and analytical skills.

Professional Timeline

Bachelor's in Mechanical Enginnering from MIT (Maharashtra Institute of Technology)

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Cofounder at Vtweak.in

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YouTube Channel Soft Illusion

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Design Engineer at ACG

July 2016 - Aug 2018

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1st Year Robotics Graduate Student at University of Maryland

Aug 2018 - May 2019

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Robotics Research Intern at ARCBEST

May 2019 - Aug 2019

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2nd Year Graduate Student

Aug 2019 - May 2020

Next Company

Coming Soon

Projects :

Multi-agent Planning in Warehouse Environment:

Successfully designed pipeline for simultaneous motion of robot with dynamic collision avoidance.

Bi-directional Path planning:

Implemented and Tested bidirectional path planning algorithms on vehicle with differential constraints for warehouse dynamic environment.

Position estimation using computer vision techniques:

Designed and tested algorithm for orientation estimation using camera for robot attachment.

Projects :

Robotic Pick-and-Place:

Developed “Robotic Pick-and-Place” (3D SCARA of RRP type) resulting in a market revolution; we were the first company in India to have a robotic transfer system. The company showcased this work at ‘P-Mech Exhibition 2018’.

Biscuit Packer:

Launched a Special Biscuit transfer attachment for packing 110 biscuits per minute which led to opening of completely new business avenue for ACG in the FMCG market.

Value addition and Value Engineering:

Led ‘Value addition and Value Engineering’ in the Design department which caused a high reduction in overall costs due to the design optimizations.

Operational Excellence:

Improved output efficiency by 15% yielding a record breaking total number of machines produced by the company in Sep’16.