39 citations · 43 across the 5 of their papers we have counts for
5 papers
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…
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…
Closed-loop spiking control on a neuromorphic processor implemented on the iCub
Jingyue Zhao, Nicoletta Risi, Marco Monforte +3
Despite neuromorphic engineering promises the deployment of low latency, adaptive and low power systems that can lead to the design of truly autonomous artificial agents, the devel…
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
Marco Monforte, Ander Arriandiaga, Arren Glover +1
This paper investigates trajectory prediction for robotics, to improve the interaction of robots with moving targets, such as catching a bouncing ball. Unexpected, highly-non-linea…