Max Robotics — Global Service Robot Directory + US Certification

About

Max Austin is a robotics researcher whose work spans dynamic legged locomotion, multi-modal robot design, and biologically inspired systems. His most influential contributions center on vertical and climbing gaits for legged robots — a relatively underexplored frontier compared to ground-based locomotion. His 2019 papers, "Evidence for Multiple Dynamic Climbing Gait Families" and "Navigation for Legged Mobility: Dynamic Climbing" (17 and 16 citations respectively), established foundational frameworks for classifying and enabling autonomous dynamic climbing in unstructured environments. Austin has also made significant contributions to leg design, exploring how morphology and compliance can be optimized to support diverse behaviors including running, jumping, and swimming, as demonstrated in his work on dyno-kinematic leg architectures and the STARQ multimodal quadrupedal robot. His research consistently bridges theoretical modeling and physical implementation, tackling challenges such as locomotion in resistive media and multi-modal transitions between swimming and climbing. More recently, Austin has ventured into soft robotics and biological systems, contributing to jellyfish cyborg locomotion control. With over 75 cumulative citations, his portfolio reflects a researcher steadily expanding the behavioral repertoire of robotic systems by drawing deeply from biological principles.