Mark Pustilnik

University of California, Berkeley

Papers

1

Total Citations

2

H-Index

1

About

Mark Pustilnik is a researcher at the forefront of autonomous systems and control theory, with a particular focus on energy-constrained robotics. His work addresses a critical challenge in modern autonomy: how to design hierarchical control architectures that enable robots to operate effectively when energy storage is limited and recharge rates are slow. Drawing on compelling examples from space robotics, Pustilnik’s research provides foundational frameworks for managing power as a first-class resource in mission-critical autonomous operations. His most-cited paper, "Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints" (2024), has already garnered early attention for its practical approach to balancing high-level planning with low-level energy management. Pustilnik’s contributions are especially relevant for long-duration, remote missions where refueling or recharging is impractical—such as planetary rovers or deep-space probes. By bridging control theory and energy-aware system design, he is helping to shape the next generation of resilient, self-sufficient autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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