Max Robotics — Global Service Robot Directory + US Certification

About

Mamoru Sobue is a roboticist specializing in autonomous exploration, path planning, and decision-making under uncertainty for complex, large-scale environments. His work is central to advancing field robotics, particularly for subterranean and nonholonomic systems. Sobue’s major contributions include extending the NeBula autonomy framework—developed for the DARPA Subterranean Challenge—to larger, more challenging environments, addressing hardware, software, and algorithmic co-design for resilient multi-robot teams. He also pioneered RRT-based path planning that respects curvature constraints for nonholonomic wheeled robots, enabling smoother, more feasible trajectories from start to goal poses. Additionally, his research on risk-aware meta-level decision making provides a framework for robots to intelligently balance exploration and exploitation under sensor and localization uncertainty. With over 14 citations across his most-cited works, Sobue’s impact is evident in both theoretical advances and practical deployments. His work on NeBula, in particular, represents a landmark achievement in autonomous subterranean exploration, showcasing how integrated autonomy can operate in GPS-denied, communication-limited environments. For students and researchers, Sobue’s research offers a compelling model for bridging algorithmic rigor with real-world robotic resilience.