Max Feinberg
Papers
1
Total Citations
61
H-Index
1
About
Max Feinberg is a leading researcher in robotics and autonomous systems, with a primary focus on perception, mapping, and navigation in dynamic environments. His most influential contribution is the development of the spatio-temporal voxel layer, a novel three-dimensional environmental representation that enables robots to perceive and reason about moving obstacles and changing surroundings in real time. This work, published in 2020 and garnering 61 citations, has become an actively maintained open-source project that is increasingly adopted in large-scale, complex, and dynamic settings. Feinberg’s innovation bridges the gap between static mapping and real-world unpredictability, providing a robust plug-in for the widely used Costmap 2-D framework. His research has significant implications for autonomous vehicles, warehouse robots, and field robotics, where safe navigation through crowded or shifting spaces is critical. By offering a practical, open-source solution, Feinberg has not only advanced theoretical understanding but also empowered the broader robotics community to build more resilient and adaptive systems.
Research Focus
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Top Papers
- 1