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About

Matthias Baltes is an emerging researcher specializing in soft robotics, dielectric elastomer actuators (DEAs), and intelligent control systems for compliant robotic structures. His work sits at the intersection of smart materials, mechanical design, and advanced control theory, with a particular focus on developing novel soft robotic modules capable of large-scale, biomimetic motion. Baltes's most influential contribution is his design of a bi-stable soft robotic bendable module driven by silicone dielectric elastomer actuators, which has garnered 21 citations since its 2022 publication and introduced a compelling framework for achieving continuous planar bending through antagonistic artificial muscle arrangements. Building on this foundation, he has pioneered energy-based control strategies for underactuated soft systems, elegantly addressing the challenges of controlling inherently nonlinear, compliant structures. Perhaps most notably, his recent work on sensorless proprioception — enabling soft robots to estimate their own configuration without dedicated sensors — represents a significant step toward practical, self-aware soft robotic systems, accumulating 12 citations shortly after its 2024 release. Across his growing publication record, Baltes consistently tackles one of soft robotics' most persistent challenges: bridging the gap between mechanical flexibility and reliable sensing and control, positioning him as a promising voice in the next generation of intelligent soft robotics research.