Papers

5

Total Citations

37

H-Index

2

About

Joseph Russino is a robotics and AI researcher specializing in autonomous systems for space exploration, with a particular focus on multi-agent autonomy, onboard planning, and intelligent scheduling for robotic spacecraft. His work addresses some of the most formidable challenges in deep space missions — extreme environmental uncertainty, severe energy constraints, and communication blackouts that demand spacecraft capable of making complex decisions independently. Russino has made significant contributions to two landmark NASA mission concepts. His work on the CADRE (Cooperative Autonomous Distributed Robotic Exploration) lunar technology demonstration, which has garnered 20 citations, showcases his expertise in coordinating teams of autonomous rovers for collaborative surface exploration. Equally notable is his research on the Europa Lander Mission Autonomy Prototype, accumulated 11 citations, where he helped develop sophisticated autonomous systems capable of searching for biosignatures on Jupiter's icy moon — one of the most scientifically compelling and technically demanding mission concepts ever proposed. Through his utility-driven scheduling frameworks and multi-agent coordination architectures, Russino is advancing the frontier of what robotic explorers can accomplish without direct human intervention, helping lay the groundwork for humanity's most ambitious future missions throughout the solar system.

Research Focus

Key Achievements

2
H-Index
5
Papers
37
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Agent Autonomy for Space Exploration on the CADRE Lunar Technology Demonstration
20 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Jet Propulsion Laboratory, California Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago