Unmanned Aerial Vehicle of BITS, Pilani-Dubai Campus for the International Aerial Robotics Competition 2011 Saurabh Ladha, Deepan Kishore Kumar, Robin Singh ,Pavitra Bhalla, Anant Mittal, Aditya Jain, Anshul Upreti, Prof. Dr. R.K.Mittal, Dr Anand Kumar Birla Institute of Technology and Science, Pilani-Dubai Campus, Dubai, UAE ABSTRACT The Intelligent Flying Object for Reconnaissance (IFOR) is an autonomous aerial vehicle that has been developed by BITS Pilani Dubai Campus students. The vehicle is capable of localizing itself using the SLAM algorithm, stabilize its attitude (pitch, roll and yaw) and altitude using PID controllers, plan paths around obstacles and navigate an unknown indoor environment with wall following guidance. In addition, it has been designed to be capable of pattern recognition which would enable it to recognize images and signs. These features enable the IFOR to execute the 6th mission of the International Aerial Robotics Competition, which involves scanning an unknown indoor arena protected by laser barriers and cameras, bestrewn with obstacles, in the search for a flash drive. 1. INTRODUCTION The field of robotics is witnessing a paradigm shift in the operation and use of robots. With robots becoming autonomous and intelligent day by day, their application and use has increased tremendously. Aerial robots specifically have an edge over other autonomous vehicles due to its higher degrees of freedom in motion and agile maneuverability. To tap these features and advance the applications and versatility of the quadrotor is the aim of the team. 1.1 Problem Statement The 6th mission of the IARC requires teams to infiltrate a military facility from which a flash drive has to be retrieved and replaced by a decoy. This flash drive is placed in the ‘Office of the Chief of Security’, identifiable by a unique Arabic pattern. To reach this room, a vehicle must explore a ‘maze’ of rooms avoiding randomly placed obstacles along its path. In addition it must also avoid detection by a camera and laser barriers placed within the arena. Once the target pen drive is found it must retrieve the object after dropping a decoy in its place, the entire mission must be performed in under 10 minutes. 1.2 Conceptual Solution Team IFOR will be using a quadrotor as its aerial vehicle to execute the 6th mission. The vehicle will use wall following guidance to explore the maze, whilst a path planning system shall continuosly scan the environment to plan optimum paths around obstacles. Localization in a global frame can be accomplished using the SLAM algorithm, the output of which can be used by a Drift Control system to
correct unintentional drift. The Image processing routine runs in parallel to find recognizable patterns in its surrounding.
Figure of Overall system architecture 1.3 Yearly Milestones In the second year of the 6th Mission, Team IFOR intends to fly autonomously, navigate through the arena, and implement drift control, path planning and image processing(limited to recognition of the...
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