Mobile Robotics Laboratory, Department of Aerospace Engineering, Indian Institute of Science, Bangalore – 560012 Phone: (91)80-22932475, Email: varunrajk@gmail.com http://guidance …… aero.iisc.ernet. in/varun Varun Raj Kompella O BJECTIVE To pursue higher studies and carry out a meaningful research in computer vision and robotics. E DUCATION B.E. (Bachelors) in Electronics and Communication Engineering Sept 2003 – Sept 2007 M.S. Ramaiah Institute of Technology, Bangalore, India Overall Percentage – 73% W ORKE

PUBLICATIONS Journals J1. K. Varun Raj, K.N. Krishnanand, and D. Ghose. “Monochromatic Vision-based Obstacle Avoidance using Histogramic Intensity Switching,” submitted to Robotics and Autonomous Systems Journal , Dec 2007. J2. K.N. Krishnanand, K. Varun Raj, and D. Ghose. “A Network Robot System for Multiple Signal Source Localization using Glowworm Swarm Optimization Algorithm,” submission in progress to Robotics and Autonomous Systems Journal, Dec 2007 Conferences C1. K. Varun Raj, Sharschchandra V. Bidargaddi, K.N. Krishnanand, D.Ghose. “A Tracked Mobile Robot with Vision-based Obstacle Avoidance”, 13th National Conference on Mechanisms and Machines (NaCoMM07) , Bangalore, pp. 141-147, December 2007. C2. K. Varun Raj, Kiran Patil, D.V. Kaushik Kariappa, and Amit Madhav Jakati. “A Beacon- Based Docking System for an Autonomous Mobile Robot”, 13th National Conference on Mechanisms and Machines (NaCoMM07) , Bangalore, December 2007. TECHNICAL SKILLS Platforms Win98/Xp, Unix, Dos. Languages Assembly ( µp 80×86, µc 8051, PIC16Fxxx), C/C++, Linux, Matlab Image Processing Intel – OPENCV, Matlab – IPT Simulation Software Player/Stage Internet Perl, CGI, Javascript, HTML, XML Network TCP/IP (Sockets) RESEARCH EXPERIENCE 1. VITAR – Vi sion Based Tracked A utonomous R obot Investigators: K. Varun Raj, B.V. Sharschchandra , K.N. Krishnanand, and D. Ghose For vision-based navigation experiments, we have built a robotic testbed christened VITAR (Vision based Tracked Autonomous Robot) that consists of a tracked mobile robot equipped with a pan-tilt mounted vision sensor, an on board PC, driver electronics, and a wireless link to a remote PC. A novel appearance-based obstacle avoidance algorithm that uses histograms of images obtained from a monocular camera is developed and tested on the robot. Modifications to the mobile robot base and design of more complex experiments are currently under progress. [C1]

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