Francesco Rovida
Papers
13
Total Citations
423
H-Index
9
About
Francesco Rovida is a robotics researcher whose work sits at the intersection of autonomous robot control, task-level programming, and cognitive manufacturing systems. He is best known for developing SkiROS, a skill-based robot control platform built on ROS, which has become an influential framework for enabling flexible, autonomous robot behavior in industrial environments — with its original 2017 paper garnering 69 citations and its 2023 successor, SkiROS2, already accumulating 30. His most-cited contribution, "Extended Behavior Trees for Quick Definition of Flexible Robotic Tasks" (2017, 94 citations), advanced the use of behavior trees as a powerful paradigm for robot task programming, bridging planning algorithms with real-world execution. Rovida has also made significant strides in the vertical and cyber-physical integration of cognitive robots in manufacturing, exploring how intelligent robots can be embedded into existing industrial infrastructures — work that spans multiple papers totaling nearly 100 citations. His research on motion generators, multitasking, and multi-robot mission planning further demonstrates a sustained effort to make industrial robots more adaptable, modular, and autonomous. Across his career, Rovida has meaningfully shaped how modern robotics frameworks handle complexity and flexibility in production environments.
Research Focus
Key Achievements
Top Papers
- 1Extended behavior trees for quick definition of flexible robotic tasks94 citations · 2017
- 2SkiROS—A Skill-Based Robot Control Platform on Top of ROS69 citations · 2017
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- 6SkiROS2: A Skill-Based Robot Control Platform for ROS30 citations · 2023
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- 8Integrating Mission and Task Planning in an Industrial Robotics Framework23 citations · 2017
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- 10Productive Multitasking for Industrial Robots9 citations · 2021