Papers
26
Total Citations
326
H-Index
11
About
Anton Koval is an accomplished robotics researcher whose work sits at the intersection of autonomous navigation, subterranean exploration, and multi-robot systems. Best known for his contributions to field robotics in GPS-denied and hazardous environments, Koval has helped advance the state of the art in legged and aerial robotic platforms designed for search-and-rescue and underground inspection missions. His most-cited work, "Multimodality Robotic Systems" (2022, 66 citations), introduced a pioneering legged-aerial hybrid platform capable of autonomous deployment in subterranean scenarios — a landmark achievement in mobile robotics. Complementing this, his research on Boston Dynamics Spot navigation (32 citations) and LiDAR-based 3D SLAM evaluation (23 citations) has provided the field with rigorous experimental benchmarks for real-world autonomy. Koval has further contributed critical open resources through a comprehensive SubT sensor dataset, and has tackled fundamental challenges in localization, map-merging across heterogeneous robot teams, and risk-aware path planning. His 2025 survey on autonomous robots in deep underground mining underscores his sustained commitment to translating cutting-edge research into practical industrial applications. Across his body of work, Koval exemplifies how principled engineering and field deployment together drive meaningful progress in autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of Lidar-based 3D SLAM algorithms in SubT environment23 citations · 2022
- 4Dataset collection from a SubT environment21 citations · 2022
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