Tommaso Apicella
Research Engineer at Generative Bionics
Italy
Summary
👤
Senior🎓
Top SchoolTommaso Apicella is a research engineer with nine years of experience at the intersection of embodied AI, computer vision, and robotics, currently developing generative bionics solutions. He holds a PhD in Interactive and Cognitive Environments (Universities of Genoa and Queen Mary University of London) where he pioneered affordance segmentation to identify interaction surfaces from visual data—work aimed at real-world robotic and prosthetic applications. As a postdoc at IIT’s PAVIS group he integrated vision, language, and proprioception for robots that explore and interact with people and objects, and he has deployed lightweight deep models on resource-constrained platforms like Jetson, Raspberry Pi, and smartphones. Tommaso blends hands-on engineering (HIL simulation, Simulink, VHDL) with academic leadership—organizing teams, supervising students, and reviewing research—demonstrating both applied and scholarly impact. He is comfortable translating research prototypes into deployable systems and has a track record of competitive results (e.g., CORSMAL challenge placement) that reinforce his focus on assistive and collaborative robotic technologies.
9 years of coding experience
1 year of employment as a software developer
Maturità Scientifica, Maturità Scientifica at Liceo Scientifico Statale G.D. CassiniDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Università degli Studi di GenovaDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Queen Mary University of London
Italian, English
Github Skills (20)
robot4
surface3
robotics3
pointnet3
connectivity2
visualization2
python2
mesh2
autonomous-robots2
ieee2
semantic-segmentation1
visualizer1
pytorch1
computer-vision1
yarp1
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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