Kanishk Navale

Critiqued 3 student industrial automation & robotics research teams simultaneously. Cofounded an internal group acting as a consulting firm for local industries & research teams to fabricate economical automation & robot controllers. 1. Manufactured motion control system based on Codesys EtherCAT technology priced 47% economical than competitors. Successfully demonstrated these control systems on internally built parallel robots & autonomous guided vehicles.

Commissioned 48 industrial robots in welding, 2D & 3D vision, machine tending, IoT with predictive maintenance as part of the design & site team. The technical & commercial proposals generated revenues more than the set yearly revenue targets. 1. Coded modular automated design reports & proposal generation systems with C# services, accelerating proposal to project delivery time by 30%.

1. Constructed a deep learning model with Dense CNN + LSTM Layers using PyTorch with an accuracy of 57.24% for speech & language processing, ranking 2nd best model in the class. 2. Improved robot path planning by 60% fewer episode lengths from DDPG to TD3 RL Agent with Hindsight Experience Replay implemented in Tensorflow 2.

1. Lead a student team of size 10 to participate in ABU-Robocon international event with 2 badminton playing robots. 2. Reverse engineered a parallel manipulator from a research paper involving PCB engineering, designing motion systems using LabVIEW as a part of the ‘Research for Undergraduates' program.