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Student run project started in January 2015, working to advance state of the art in aerial robotics.
Principal Investigator: Prof. Somesh Kumar, Department of Mathematics
About
Us
Mentors:
- Prof. Jayanta Mukhopadhyay, Department of CSE
- Prof. D.K. Pratihar, Department of Mechanical Engineering
- Prof. A.K. Deb, Department of Electrical Engineering
Under the umbrella institute body - Center for Excellence in Robotics
Our Mission
MISSION STATEMENT
We aim to move the state-of-the-art in aerial robotics forward. Our drones are capable of autonomous flight, localization in GPS denied environments, tracking and interacting with mobile ground robots as well as other drones, and much more!
How It Started
How it started
The journey of ARK started in a small hostel room, with just a simple quadcopter chassis and was simply known as "The Quadcopter Project".
The project’s journey from a generically named hobby project to Aerial Robotics Kharagpur is quite a unique one.
Drone Zero
Our Journey
Our Journey
A hobby project that started in the mind of a few visionaries now stands as one of the major research group of IIT Kharagpur.
With a series of many failed crashes but even more successful flight tests, we've made our way to the top with a vision of flying higher than ever.
With a generation of drones that we have developed so far, namely, Quad Zero, Albatross, Butterfly, Canary, Dove, Eagle, Falcon, Griffin, Hedwig, Ibis, Jackal, Kea, Lark, Merlin and Nighthawk. We have many research projects currently in progress and many others in hand.
Teams
Work done by Individual Teams
Software Team
- Navigation and Path Planning
- Using various SLAM and visual odometry techniques
- Autonomous vision based aerial navigation :
- The UAV needs to know its current location for autonomous navigation
- Dynamic obstacle avoidance :
- Avoiding Collisions and planning a new path free of obstacles.
- Deep Learning :
- Utilizing deep learning for advanced object detection and reinforcement learning for path planning
SOFTWARE
Controls Team
- Construction of mathematical models of aerial robots.
- Design obstacle avoidance and trajectory optimization algorithms.
- Control of swarm of drones to complete specific tasks.
CONTROLS
CONTROLS
Reinforcement Learning
- We use reinforcement learning to develop generalized controller which allows us to fly different types of drones.
Aerodynamically safe motion planning
- Our planning algorithm accounts for wind direction and creates path such that drone receives new turbulent free air
Control as Optimization
. We use advanced high performance control algorithms
which formulate the controls as an optimization problem
which is solved recursively during flight.
CONTROLS
Mechanical Team
- INNOVATE
New state-of-art innovations in the field of Aerial Robotics.
- DESIGN
Designing and experimenting with non-conventional aerial vehicles.
- OPTIMIZE
Optimizing overall Performance in terms of Flight-Time, Stability, Safety and Reliability.
MECHANICAL
Hardware
HARDWARE
- Co-axial quadcopter:
Increasing robustness and payload capacity
- 5 DOF:
Quadrotor that has an increased degree of freedom as compared to a normal quadrotor.
Embedded Team
- Long range Communication : Our target: 25 km vs. commercially achieved 3 km
Maximum flight time.
- High endurance flights : Longer flight times with heavier payloads
- Higher Load Capacity :
To carry higher payload to a long distance without
causing significant strain to the drones.
EMBEDDED
Embedded Team
- Design of Efficient Battery Management System that could increase the flight time of the drones.
- FPGA design to enable parallel computing
- Customized PCB design for each functional unit in our drones thus customizing the circuitry to our needs.
- Constructing AC power drone for constant supervision over wide area
Current Projects
Current Projects
IARC
One of the oldest and longest running collegiate competitions.
The Problem Statement 9 involves autonomous planning, herding, Aerial robotic repair of mobile platforms and precision manipulation of large objects
Formation Control
(Imprint)
Formation Control
Bored of flying a single drone? How about a group of drones!
Our algorithm plans out the collision free paths and trajectories for the drones to attain the required shape in 3D space.
For ex: Used to track and follow subjects in a vast area.
Drone for Vaccine Delivery (ICMR)
Drone for Vaccine Delivery
ICMR
Making a robust, stable, and autonomous drone that can deliver medicines and vaccines in remote areas.
Covered long range communication, high endurance flights, dynamic obstacle avoidance and planning, aerodynamically safe motion planning.
Fun Projects
- Hand gesture controlled drone using Leap Motion
- Mind controlled drone using Muse
- Developed follow-me mode for Parrot Bebop-2 to follow a particular target.
- Using controls to perform 360 degree flips on CrazyFlie
- Drone racing
Fun Projects
Achievements
- Aerial Robotics Kharagpur (ARK) has won the First place in iMAV 2019 Competition held in Madrid, Spain from 30th September to 2nd Ocrober.
- In International Aerial Robotics Competition, Asia-Pacific Venue We won the Best Team Coordination in 2016 and Most innovative design award in 2017.
- Won the first prize in zonal round of DRUSE organized by DRDO and landed among the top 30 teams qualifying for nationals.
Achievements
Inspirations
Inspirations
Future Projects
- Inspection using thermal imaging at night.
- Decentralized Mapping
- Efficient power management system using customized power distribution board.
- Kinodynamic Planning
- 6 Degree of Freedom UAV
- Possible future collaborations with Flipkart, DRDO and the Air-force.
- Fully Functional Flight Controller made with FPGA
Come crash with us!
Join Us!
Fancy some challenges?
Join Us!
Be there!
Selections
Selection Test on:
24/04/2021, Saturday
6:00 PM
Platform: MS Teams
Register On:
tinyurl.com/ARKTests