Max Robotics — Global Service Robot Directory + US Certification

About

Mario Harper’s research lies at the intersection of legged robotics, autonomous navigation, and multi-agent coordination, with a strong emphasis on real-world deployment in hazardous environments. His work on energy-efficient navigation for running legged robots and dynamic climbing has advanced the ability of quadrupeds to traverse unstructured terrains, while his kinematic modeling of RHex-type robots using neural networks provides critical tools for motion planning where traditional physics-based models fall short. Harper has also pioneered the characterization and traversal of pliable materials like tall vegetation, enabling tracked and legged robots to reason about obstacles in a non-binary fashion—a key capability for outdoor search and rescue. His most cited paper, “Sound Identification for Fire-Fighting Mobile Robots” (24 citations), proposes companion robots that reduce risk for firefighters by speeding up human detection in burning structures. More recently, Harper has explored reinforcement learning and foundation models for coordinating multi-robot search in complex environments, as seen in his 2024 work on multi-agent systems. With over 90 total citations and contributions spanning simulation tools like UBES and novel control frameworks like SBMPO, Harper’s work is shaping the next generation of resilient, autonomous robots for emergency response and exploration.