19 citations · 52 across the 15 of their papers we have counts for
13 papers · 1 filter
LiZIP: An Auto-Regressive Compression Framework for LiDAR Point Clouds
Aditya Shibu, Kayvan Karim, Claudio Zito
The massive volume of data generated by LiDAR sensors in autonomous vehicles creates a bottleneck for real-time processing and vehicle-to-everything (V2X) transmission. Existing lo…
Robot Grasping and Manipulation: A Prospective
Claudio Zito
``A simple handshake would give them away''. This is how Anthony Hopkins' fictional character, Dr Robert Ford, summarises a particular flaw of the 2016 science-fiction \emph{Westwo…
Multi-Hypothesis Scan Matching through Clustering
Giorgio Iavicoli, Claudio Zito
Graph-SLAM is a well-established algorithm for constructing a topological map of the environment while simultaneously attempting the localisation of the robot. It relies on scan ma…
Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli
Claudio Zito
This report presents the experimental methodology and a step-by-step guide for gathering data on how aging influences tactile surface perception in decision and action. The experim…
Multisensory Learning Framework for Robot Drumming
A. Barsky, C. Zito, H. Mori +2
The hype about sensorimotor learning is currently reaching high fever, thanks to the latest advancement in deep learning. In this paper, we present an open-source framework for col…
Robust and fast generation of top and side grasps for unknown objects
Brice Denoun, Beatriz Leon, Claudio Zito +3
In this work, we present a geometry-based grasping algorithm that is capable of efficiently generating both top and side grasps for unknown objects, using a single view RGB-D camer…