Lorenzo Garattoni

About

Lorenzo Garattoni is a robotics researcher whose work spans two richly interconnected domains: swarm robotics and computer vision for robotic manipulation. He is perhaps best known for his contributions to the automatic design of robot swarms, most notably through AutoMoDe-Chocolate, his influential framework for automatically generating control software for swarm systems, which has accumulated 94 citations. His broader manifesto on automatic off-line swarm design (79 citations) helped crystallize a field-wide conversation about moving beyond manual and semi-automatic approaches. His work on autonomous task sequencing in swarms (93 citations) pushed the cognitive boundaries of collective robotics, demonstrating that swarms could tackle higher-order, sequential decision-making challenges inspired by natural systems. Garattoni also made foundational contributions to swarm methodology through the Task Abstraction Model and augmented reality tools for robot experimentation. In parallel, his more recent research addresses category-level 6D object pose estimation and robotic grasping, producing impactful datasets such as PhoCaL (45 citations) and HouseCat6D (26 citations) that support reproducible benchmarking. Together, his body of work reflects a sustained commitment to making autonomous robotic systems — whether collective or manipulative — more capable, generalizable, and systematically designable.

Research Focus

Key Achievements

Top Papers

1. 1
   AutoMoDe-Chocolate: automatic design of control software for robot swarms

   94 citations · 2015
2. 2
   Autonomous task sequencing in a robot swarm

   93 citations · 2018
3. 3
   Automatic Off-Line Design of Robot Swarms: A Manifesto

   79 citations · 2019
4. 4
   PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects

   45 citations · 2022
5. 5
   DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration

   29 citations · 2021
6. 6
   HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios

   26 citations · 2024
7. 7
   The TAM: abstracting complex tasks in swarm robotics research

   26 citations · 2015
8. 8
   Augmented reality for robots: Virtual sensing technology applied to a swarm of e-pucks

   26 citations · 2015
9. 9
   An Experiment in Automatic Design of Robot Swarms

   22 citations · 2014
10. 10
    Swarm Robotics

    12 citations · 2016

Key Collaborators

Contact & Links