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Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
Prediction skills can be crucial for the success of tasks where robots have limited time to act or joints actuation power.
PUCK: Parallel Surface and Convolution-kernel Tracking for Event-Based Cameras
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 stability.
Closed-loop spiking control on a neuromorphic processor implemented on the iCub
In this paper, we present a closed-loop motor controller implemented on mixed-signal analog-digital neuromorphic hardware using a spiking neural network.
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
This paper investigates trajectory prediction for robotics, to improve the interaction of robots with moving targets, such as catching a bouncing ball.
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