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Dr Tobias Fischer

Lecturer (Assistant Professor)
Queensland University of Technology
I am passionate about my overarching research goal: providing robots with perceptual abilities that allow safe, intelligent interactions with humans in real-world environments. To develop these perceptual abilities, I believe it is useful to study the principles of the human, animal and insect visual systems. I use these principles to develop new computer vision and machine learning algorithms and validate their effectiveness in intelligent robotic systems. I am enthusiastic about this forward/reverse engineering approach, which combines concepts from computer science and engineering with those from biology and social sciences, as it offers the dual benefit of uncovering principles inherent in the animal visual system, as well as applying these principles to its artificial counterpart. I am a recipient of two best thesis awards and two best poster awards and have acquired grants in excess of 400,000 AUD.
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Tobias Fischer avatarTobias Fischer@TobiasRobotics
Do you use #colmap in your research, maybe to get poses for your #localization pipeline or to train your #NeRF? I've done some work recently to make GPU-enabled #colmap available on @condaforge - simply "mamba install colmap". @nikoSuenderhauf @SattlerTorsten @sourav_garg_ #SfM
Tobias Fischer avatarTobias Fischer@TobiasRobotics
Our joint director DProf Peter Corke kicking off our #robotics #PhD recruitment event. Application deadline coming up soon (31 July international students, 31 August domestic students). Get in touch if interested! Projects: bit.ly/3Nlk0st
Tobias Fischer avatarTobias Fischer@TobiasRobotics
Oh no, it seems like I have gotten a reputation as Reviewer #2 ๐Ÿ˜†. Watch out @wacv_official authors ;).
Tobias Fischer avatarTobias Fischer@TobiasRobotics
Tobi^2 - great to see @TobiDelbruck again and to participate as one of the #neuromorphs in #telluride, it's a real privilege :)
Tobias Fischer avatarTobias Fischer@TobiasRobotics
What a blast of a week! First a paper acceptance by @Scarlett_Raine_ to the @ieeeras #Robotics & #Automation #Letters, then opening @maththrills @arc_gov_au #Laureate Fellowship celebrations and now in #Telluride for the #Neuromorphic workshop. Read more: linkedin.com/feed/update/urโ€ฆ
Tobias Fischer avatarTobias Fischer@TobiasRobotics
In a range of experiments on four challenging datasets, we show that our spiking net achieves comparable performance to the #SoTA, and degrades gracefully in performance with an increasing number of reference places. 4/n
Tobias Fischer avatarTobias Fischer@TobiasRobotics
But place recognition is a harder problem with many more classes. To deal with this, we introduce a novel weighted assignment scheme using ambiguity-informed #salience: Does a #neuron represent (i.e. fire for) just a single place or multiple places? 3/n
Tobias Fischer avatarTobias Fischer@TobiasRobotics
We considered #placerecognition as a #classification task: Which of N places is the robot in, given significant appearance change since last observing this place? Classification has long been studied with spiking nets, e.g. in digit recognition. 2/n
Tobias Fischer avatarTobias Fischer@TobiasRobotics
First work trip since arriving @QUT in @brisbanecityqld. Excited like a small child! Immediate throwbacks seeing #finalcall signs before boarding even started. Many thanks to @Exaptec for inviting me to speak at the #Generate22 #robotics & #AI conference in @Melbourne
Tobias Fischer avatarTobias Fischer@TobiasRobotics
Here we go: @rosorg #ROS2 on a new shiny @Apple M1 Silicon (osx-arm64) thanks to @RoboStack and @condaforge. Still not quite ready for the public (some issues in the installation process), but we are nearly there! Stay tuned and follow @RoboStack to get updates.
Tobias Fischer avatarTobias Fischer@TobiasRobotics
Incredibly happy that our @RoboStack paper has been accepted to the @ieeeras Robotics & Automation Magazine ๐Ÿฅณ. @RoboStack brings together #ROS @rosorg with @condaforge and @ProjectJupyter. Preprint: arxiv.org/abs/2104.12910. Find out some key benefits in this ๐Ÿงต: 1/n