Hopefully, Andreas Ziegler from Uni Tübingen will have an appreciative audience game for some event-(camera)-ful table tennis talk

at the International Conference on Robotics and Automation (ICRA 2025) in Atlanta later today.
He will be presenting his team’s research (which also involved Akida and was partially funded by Sony AI, where he was a Research Scientist Intern at their office in Switzerland from November 2023 to March 2024 as part of his ongoing PhD studies at Uni Tübingen) that led to the publication of the

paper “Detection of Fast-Moving Objects with Neuromorphic Hardware” (cf.
https://lnkd.in/ew-U5-BD, where you’ll also find a video and a GitHub link):
#ICRA2025 is coming closer! I’ll be presenting our work, “Detection of Fast-Moving Objects with Neuromorphic Hardware” — more details here: https://lnkd.in/ew-U5-BD I was also accepted into the Doctoral Consortium (DC), where I’ll present my research on event-based vision for fast robot...
www.linkedin.com
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It is worthwhile to refresh our memories regarding the whereabouts of his co-authors Sebastian Otte and Karl Vetter, who are both Uni Tübingen alumni from the same Cognitive Systems research group, where Andreas Ziegler is currently pursuing his PhD (
https://uni-tuebingen.de/fakultaete...che/informatik/lehrstuehle/kognitive-systeme/):
The original March 2024 version of the paper Andreas Ziegler presented at ICRA2025 last week just got quoted in a paper by KTH Stockholm researchers from Jörg Conradt’s NCS (Neurocomputing Systems) Lab.
One of the co-authors is KTH PhD student Jens Egholm Pedersen, who has become a passionate advocate for neuromorphic computing in general and a prolific contributor to open-source efforts in particular (cf. his personal website
https://jepedersen.dk/). Some of you may also remember him as the Open Neuromorphic podcast host interviewing Cristian Axenie from TH Nürnberg’s SPICES Lab in January 2024, whose team had come in second place at the 2023 tinyML Pedestrian Detection Hackathon utilising Akida.
Some of the Danish PhD student’s recent conference/workshop presentation slides contain an image of the AKD1000 PCIe Card as one of several examples of neuromorphic chips (here quantifying the negligible cost of running Akida for a whole year):
Research and thoughts of Jens Egholm Pedersen
jepedersen.dk
Yesterday, Jens Egholm Pedersen posted this on LinkedIn:
While the neuromorphic hardware used in this paper is SpiNNaker 1, there is also a reference to Akida in the context of the robotic goalkeeper system developed by Uni Tübingen’s Cognitive Systems research group:
Some people may now shrug their shoulders and dismiss papers and references to papers as being a purely academic endeavour. Keep in mind, though, that some of those neuromorphic labs actively collaborate with industrial partners and/or government agencies.
Jörg Conradt’s Neurocomputing Systems (NCS) group at KTH Stockholm, for instance, where Jens Egholm Pedersen is pursuing his PhD,
have teamed up with Frontgrade Gaisler to contribute “expertise in neuromorphic sensor and computing algorithms for the development of a demonstrator system” that will aid commercialisation efforts for Frontgrade Gaisler’s GR801 neuromorphic SoC, which is currently under development (https://www.gaisler.com/products/gr801).
For those who are new here, suffer from short-term memory loss or have been living under a rock in recent months, note the sentence highlighted in orange below…
The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications. Already in development at Frontgrade...
www.frontgrade.com
“Sweden’s Royal Institute of Technology (KTH) is contributing to this development by designing a demonstration application that uses a neuromorphic sensor directly connected to Gaisler’s new GR801 device.”
(…)
About KTH Royal Institute of Technology
The KTH Neurocomputing Systems team (NCS) led by Prof. Jörg Conradt contributes expertise in neuromorphic sensor and computing algorithms for the development of a demonstrator system. Fundamental research in neuromorphic computing at the NCS lab investigates theory, models, and applied implementations of distributed neuronal information processing, to (a) discover key principles by which large networks of neurons operate and (b) implement those in engineered systems to enhance their real world performance.
Paris, France (SPX) Apr 03, 2025 - Frontgrade Gaisler has secured a major contract from the Swedish National Space Agency (SNSA) to commercialize what it says is the first neuromorphic System on Chip (SoC) specifically designed for u
www.spacedaily.com
“Frontgrade unveils GRAIN space chip series with neuromorphic AI integration
by Erica Marchand
Paris, France (SPX) Apr 03, 2025
Frontgrade Gaisler has secured a major contract from the Swedish National Space Agency (SNSA) to commercialize what it says is the first neuromorphic System on Chip (SoC) specifically designed for use in space. This device anchors the company's new GRAIN series, short for Gaisler Research Artificial Intelligence NOEL-V, and reflects Frontgrade's effort to push advanced, energy-saving AI deeper into orbital and deep space missions.
The debut product in the GRAIN line is the GR801 SoC, which merges Frontgrade Gaisler's NOEL-V RISC-V processor with the Akida neuromorphic processor developed by BrainChip. This integration combines high-efficiency event-driven AI processing with a radiation-hardened architecture, tailored for deployment in the power- and size-constrained environments of space hardware.
Sweden's KTH Royal Institute of Technology is actively contributing to the GR801 rollout by designing a demonstrator application. This test case directly connects a neuromorphic sensor to the new chip, showcasing the potential of onboard inference and AI-based decision-making without the need for ground intervention.”
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-456462
Also note the
Neuromorphic Edge Computing for Urban Traffic Monitoring research project in the city of Stockholm 
, in which the KTH NCS lab is involved as well - it still runs until the end of the year.