Papers
33
Total Citations
1,786
H-Index
19
About
Maxim A. Batalin is a robotics and autonomous systems researcher whose work has fundamentally shaped our understanding of multi-robot coordination, sensor network-guided navigation, and cable-driven robotic platforms. His early contributions in the mid-2000s pioneered the integration of embedded sensor networks with mobile robot navigation, demonstrating that robots could traverse complex environments without onboard maps or localization by leveraging network nodes as intelligent signposts — a paradigm-shifting idea that has garnered nearly 250 citations. His influential work on multi-robot coverage and exploration, including the elegant "Least Recently Visited" algorithm, provided rigorous theoretical foundations for simultaneous coverage, exploration, and sensor deployment, collectively accumulating hundreds of citations across multiple publications. Batalin also made significant strides in informative path planning for robot teams in environmental monitoring contexts, and later pioneered cable-driven robotic systems through the NIMS family of platforms, developing novel self-calibration methods and optimally safe tension distribution algorithms for parallel cable-driven architectures. These contributions, cited over 130 times each, have broad applications in aquatic sensing and precision actuation. Across his career, Batalin has consistently bridged theoretical rigor with practical deployment, leaving a lasting imprint on field robotics and networked autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Mobile robot navigation using a sensor network249 citations · 2004
- 2Spreading Out: A Local Approach to Multi-robot Coverage209 citations · 2002
- 3Coverage, Exploration and Deployment by a Mobile Robot and Communication Network207 citations · 2004
- 4Efficient planning of informative paths for multiple robots142 citations · 2007
- 5
- 6
- 7NIMS-PL: A Cable-Driven Robot With Self-Calibration Capabilities91 citations · 2009
- 8
- 9
- 10