Aamir Ahmad

For all videos of my research please visit my youtube channel here

News

• [Info Oct' 20] -- Prospective PhD students, interested in joining my group, should apply through IMPRS, select me as their advisor on the portal and send me an email stating this. Please use the following phrase subject line 'FRG PhD position IMPRS-IS'. If you have recently sent me a general email requesting a PhD position, please follow the aforementioned procedure and send a mail again.
• [Sep '20] I have been appointed as a tenure-track professor of 'Flight Robotics (Flugrobotik)' at the University of Stuttgart. I will soon announce new open positions for Postdocs and PhD students. Bachelor and Master thesis students -- please contact me directly on my uni email. (news links here, here and here).
• [New!!! -- AirCapRL accepted in IEEE RA-L + IROS 2020] Details here: AirCapRL
• [New!!! -- Dataset and Code of our IEEE RA-L + IROS 2020 article]  AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning -- Dataset and code here.
• [Dataset and Code of our ICCV 2019 paper]  Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles -- Dataset and code here.
• [IEEE/RSJ IROS 2019] Our talk in IROS Workshop on Aerial Swarms is now online!
• [IEEE/RSJ IROS 2019] Our submission to IROS Workshop on Aerial Swarms is accepted! To know all about the AirCap project please attend our talk on Nov 4.
• [Call for a PhD Position (Closed) - Deadline: 1st September] We have a new PhD student position open on the topic 'Reinforcement Learning for Aerial Robots'. See the call here, or contact me directly.
• [Paper accepted in ICCV 2019] Our latest work titled 'Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles' has been accepted to ICCV (July, 2019)
• [Paper accepted in IEEE RA-L 2019] Our latest work titled 'Active Perception based Formation Control for Multiple Aerial Vehicles' has been accepted as a journal paper in IEEE Robotics and Automation Letters (July, 2019)
• [Paper accepted in IEEE CASE 2019] Rahul's work titled 'Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems' has been accepted as a conference paper in IEEE 15th International Conference on Automation Science and Engineering (CASE) (May, 2019)
• [EU H2020 Grant proposal DeepField accepted for funding] Our grant proposal, from a 5-member consortium consisting of several European Universities, is accepted for funding. Project begins October 2019. Stay tuned for more info.
• [Code Release] : Nodes and packages specific to our RA-L paper (accepted) "Active Target Perception based Formation Control for Multiple Micro Aerial Vehicles" is added on our Github project page. AirCap Github Page
• [Talk] NVidia I AM AI Photoseries featured my short interview with them at the GTC 2018.
• [Paper accepted in IEEE/RSJ IROS 2018] Our RA-L + IROS 2018 submission from the AirCap project got accepted as IROS paper also. Please see the publications for RA-L version of the paper.
• [Paper accepted in IEEE SSRR 2018] Our work on decentralized MPC with integrated obstacle avoidance for multiple UAVs got accepted at SSRR 2018.
• [Paper accepted in IEEE RA-L 2018] Our latest work and results from the AirCap project got accepted as a journal paper in IEEE Robotics and Automation Letters (RA-L). Please check my publications tab.
• My talk regarding outdoor motion capture using UAVs at 2018 GPU Technology Conference (GTC), March 2018, San José, USA.
• I was a featured speaker in the autonomous machines session at the 2018 GPU Technology Conference (GTC).
   

Research Overview

Please see my group page here --  Robot Perception Group for my research overview.

New Robot Platforms -- In order to have extensive access to the hardware, we design and build most of our robotic platforms. Currently, our main flying platforms include 8-rotor Octocopters. More details can be found here https://ps.is.tue.mpg.de/pages/outdoor-aerial-motion-capture-system.

There are currently two ongoing AirCap projects in our group: 3D Motion Capture and Perception-Based Control