Research Areas

Vision-Based Navigation

Read about how we use vision-based algorithms to navigate our MAVs.

Visual SLAM

Read about how we use vision-based algorithms to localize our MAVs and build area map.

Collision Avoidance

Read about how we use vision-based algorithms to avoid collisions.

Electronics

Read about how we use different components to build our control boards.

Awards

IMAV 2015

ARC was awarded second place in IMAV 2015 indoor competition.

AUTCUP 2015

ARC was awarded first place in AUTCUP 2015 MAV competition.

IranOpen 2015

ARC was awarded second place in IranOpen 2015 MAV competition.

IranOpen 2014

ARC was awarded first place in IranOpen 2014 MAV competition.

IranOpen 2013

ARC was awarded second place in IranOpen 2013 MAV competition.

IranOpen 2012

AUTMan (AUT Humanoid Team) was awarded first place in IranOpen 2012 Kid-size humanoid competition.

IranOpen 2011

RRL (Farzad's previous team) was awarded second place in IranOpen 2011 MAV competition.

Team Members

Farzad Ahmadinejad

Mechatronics Engineer

Farzad is our team leader. He developes both Electronics and Navigation algorithms for our MAVs.

Masoud Heydari

Mechatronics Engineer

Masoud is our software developer. He works on improving Visual Navigation algorithms for our MAVs.

Saeid Bakhshi

Robotics Engineer

Saeid is our electronics engineer. He works on improving Flight Control Board and Visual SLAM algorithms for our MAVs.

Nima Ghoflgari

Material Engineer

Nima is our mechanical engineer. He works on designing mechanical structures and mechanisms for our MAVs.

Aseman Robot Creators

Autonomy Matters!

Biography

The ARC was founded in 2011 in Amirkabir University of Technology (AUT) by Farzad Ahmadinejad and Masoud Heydari. Our team is one of the best-known robotic teams in Iran with activities mainly around micro aerial vehicles. We have been developing hardware and software for MAVs to enable them function autonomously both at indoor and outdoor environments. To test our MAVs, we have participated in several national and international robotic competitions and had major successes.

Our research is mainly focused on developing and improving algorithms to make a fully autonomous MAV. We've been able to reach some achievements in doing so:

  • Designing and building custom flight control boards for quadrotors
  • Creating an on-board computer vision platform for quadrotors
  • Developing an optical flow algorithm for visual odometry of quadrotor using monocular webcam
  • Developing a visual-servoing algorithm for quadrotor autonomous takeoff
  • Developing a high-rate vision-based position tracking system for indoor reference positioning
  • Developing a fuzzy control system for low altitude terrain following of a quadrotor
  • Developing a visual-servoing algorithm for autonomous following of a wheeled vehicle

Personal Info

  • +98 910 778 2031
  • Amirkabir University of Technology (AUT), Vali-asr Street, Tehran