Research
Here's some of my recent work
Research Publication(s)
- R. Shankar, C. Prachand, J. Singh, A. Abhishek, K.S. Venkatesh, "Vision-Based Landing of UAV on Simulated Ship Deck with Roll Pitch and Sway Motions", 2025 Vertical Flight Society, Forum 81
- C. Prachand, R. Rustagi, R. Shankar, J. Singh, A. Abhishek, K.S. Venkatesh,“Vision-Based Autonomous Ship Deck landing of an Unmanned Aerial Vehicle using Fractal ArUco markers ", 2025 AIAA
Research Topics
I am interested in work related to controller integration on robots and UAVs using vision and machine learning (and RL). I've enjoyed solving such problems at
@Helicopter Lab IITK and @Amber Lab Caltech.
Additionally, I have worked on design optimization problems during my summer internship with
Endure Air Systems.
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A Comparative Study of Model-Based and Reinforcement Learning Control Paradigms for Planar Biped WalkingMentor: Dr Aaron Ames
Reinforcement Learning | Control Theory | Isaac Sim | Bipedal Locomotion -
Autonomous Landing on an moving ship-deckMentor: Dr Abhishek
Computer Vision | Machine Learning | ROS | PX4 -
Heave estimation using Deep Learning networksMentor: Dr Sandip Tiwari
Information Theory | Machine Learning | ROS | Gazebo -
5-DOF Parallel ManipulatorEmbedded + Hardware Design | Matlab | R-Pi | Arduino
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ENDURE AIR
Design Optimisation for Agricultural DronesMatlab | Helicopter theory | Design optimisation Algorithm
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Aerodynamics of a FrisbeeMentor: Dr Sanjay Mittal | CFD | Ansys | Fortran solver | High Power Computing
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Aeromodelling Club
FPV QuadcopterI mentored 5 Students to make a long-range FPV drone.
