11 citations · 16 across the 3 of their papers we have counts for
4 papers
1000 Rallies: An Event-Camera Dataset and Real-Time Learned Ball-State Estimation for Robotic Table Tennis
Raphaela Kreiser, Asude Aydin, Yin Bi +3
Robotic table tennis has emerged as a compelling benchmark for real-time robotic perception due to its fast ball dynamics and stringent timing requirements. Accurate, high-frequenc…
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
Sandro Baumgartner, Alpha Renner, Raphaela Kreiser +3
We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphichardware. We show how this network can learn simple visual patterns co…
Digital Multiplier-less Event-Driven Spiking Neural Network Architecture for Learning a Context-Dependent Task
Hajar Asgari, BabakMazloom-Nezhad Maybodi, Raphaela Kreiser +1
Neuromorphic engineers aim to develop event-based spiking neural networks (SNNs) in hardware. These SNNs closer resemble dynamics of biological neurons than todays' artificial neur…
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor
Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser +2
Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent pa…