Max Robotics — Global Service Robot Directory + US Certification

About

Juan Pablo Carbajal is a leading researcher in bio-inspired robotics and nonlinear dynamics, with a focus on understanding and replicating the principles of animal locomotion and soft-bodied movement. His work bridges biology and engineering, exploring how scaling laws govern robotic performance—as shown in his highly cited paper on "Scaling Laws in Robotics" (34 citations), which demonstrates that biological and engineered motors adhere to fundamental force-mass regimes across 27 orders of magnitude. Carbajal has made significant contributions to soft robotics, notably developing a curvature dynamic model for an octopus-inspired arm using flexure sensors (15 citations), enabling robots to learn and control their own body dynamics. He has also investigated the burrowing behavior of robotic bivalves (10 citations), using synthetic morphologies to test hypotheses about shell function, and modeled the natural transition from walking to running in bipedal locomotion using the SLIP model (10 citations). His work on "Harnessing Nonlinearities" (6 citations) explores behavior generation from natural dynamics, while his "ArtBots" initiative (5 citations) creatively engages underrepresented students in STEM learning. With a career spanning fundamental scaling laws to educational outreach, Carbajal’s research continues to inspire new approaches in robotics and biomechanics.