Tommaso Apicella
Research Engineer at Generative Bionics
Italy
Summary
👤
Senior🎓
Top SchoolTommaso Apicella is a postdoctoral researcher at Istituto Italiano di Tecnologia, specializing in embodied AI that fuses vision, language, and proprioception to enable robots to explore and interact with objects and people. With about eight years of research experience, he designs, trains, and evaluates ML models for semantic segmentation, object detection, and image captioning across embedded systems and servers. His PhD work at the University of Genoa and Queen Mary University of London focused on affordance segmentation, identifying surfaces for interaction to support robotic grasping and assistive prosthetics. He has hands-on deployment experience on resource-constrained platforms such as NVIDIA Jetson TX2, Raspberry Pi, and smartphones, and led a team to 3rd place in the CORSMAL mass estimation challenge. Based in Italy, he combines rigorous academic training with mentoring and coordinating research activities across teams and projects. His work aims to translate perception into practical robotic action for collaborative human-robot scenarios and assistive technologies.
9 years of coding experience
1 year of employment as a software developer
MaturitĂ Scientifica, MaturitĂ Scientifica at Liceo Scientifico Statale G.D. CassiniDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Queen Mary University of LondonDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Genoa
Italian, English
Github Skills (21)
robot4
surface3
robotics3
pointnet3
connectivity2
visualization2
python2
mesh2
autonomous-robots2
ieee2
semantic-segmentation1
visualizer1
containers1
pytorch1
computer-vision1
Programming languages (3)
Github contributions (5)
SEAlab-unige/Sensors-2021-Emotion
Jun 2021 - Jul 2021
Contributions:30 commits, 1 push in 16 days
SEAlab-unige/ICECS-2021
Nov 2021 - May 2022
Contributions:17 commits, 18 pushes in 5 months
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