Papers
32
Total Citations
839
H-Index
14
About
Gennaro Notomista is a robotics researcher whose work spans multi-robot systems, safety-critical control, and long-duration autonomy. He is perhaps best known for his contributions to the Robotarium project — a remotely accessible, multi-robot testbed that has democratized robotics research worldwide, earning over 210 citations since 2020. His foundational work on Control Barrier Functions (CBFs), with 78 citations, has helped establish a rigorous mathematical framework for guaranteeing safety in autonomous systems, a contribution that resonates broadly across the controls and robotics communities. A recurring theme in Notomista's research is enabling robots to operate sustainably over extended time horizons. His concept of "persistification" — ensuring robots never deplete their energy while executing tasks — alongside data-driven robust barrier functions and robot ecology principles, reflects a deep commitment to practical, real-world deployment of autonomous systems. His inventive SlothBot, a solar-powered wire-traversing robot designed for long-term environmental monitoring, exemplifies this philosophy in hardware form. Notomista has also made meaningful contributions to teleoperation through vision-based virtual fixture generation and safe reinforcement learning frameworks. Collectively, his work bridges theoretical rigor with applied ingenuity, making him a distinctive voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot ecology: Constraint-based control design for long duration autonomy83 citations · 2018
- 3
- 4Control Barrier Functions: Theory and Applications78 citations · 2019
- 5Persistification of Robotic Tasks Using Control Barrier Functions48 citations · 2018
- 6
- 7
- 8The SlothBot: A Novel Design for a Wire-Traversing Robot36 citations · 2019
- 9Data-Driven Robust Barrier Functions for Safe, Long-Term Operation31 citations · 2021
- 10