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Tobias 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@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/ur…
Tobias 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@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@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@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@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@TobiasRobotics Incredibly happy that our @RoboStack paper has been accepted to the @ieeeras Robotics & Automation Magazine 🥳. @RoboStack brings together #ROS @rosorg with @condaforge and @ProjectJupyter. Preprint: arxiv.org/abs/2104.12910. Find out some key benefits in this 🧵: 1/n
Tobias Fischer@TobiasRobotics New research out on #spiking #neuralnetworks (SNNs) for place recognition: arxiv.org/abs/2109.06452 - by @Somayeh_HS with @maththrills. SNNs offer compelling advantages, including #energyefficiency and low #latencies, inspired by how our #brain processes information. 1/2
