3 citations · 5 across the 5 of their papers we have counts for
7 papers
An Event Preserving Velocity Invariant Representation for Event Cameras
Mikihiro Ikura, Luna Gava, Jiahang Wu +2
Event cameras provide low-latency, high temporal resolution perception for real-time vision tasks such as robotics.The novel circuitry (i.e. asynchronous, independent pixels) that…
Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning
Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov +5
Air hockey demands split-second decisions at high puck velocities, a challenge we address with a compact network of spiking neurons running on a mixed-signal analog/digital neuromo…
Benchmarking Spiking Neurons for Linear Quadratic Regulator Control of Multi-linked Pole on a Cart: from Single Neuron to Ensemble
Shreyan Banerjee, Luna Gava, Aasifa Rounak +1
The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network comp…
IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi, Jianzhuang Zhao, Gustavo J. G. Lahr +5
Robotic catching of flying objects typically generates high impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass t…
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
Marco Monforte, Luna Gava, Massimiliano Iacono +2
Prediction skills can be crucial for the success of tasks where robots have limited time to act or joints actuation power. In such a scenario, a vision system with a fixed, possibl…
Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study
Antonino Bongiovanni, Alessio De Luca, Luna Gava +8
Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI,…
PUCK: Parallel Surface and Convolution-kernel Tracking for Event-Based Cameras
Luna Gava, Marco Monforte, Massimiliano Iacono +2
Low latency and accuracy are fundamental requirements when vision is integrated in robots for high-speed interaction with targets, since they affect system reliability and stabilit…