Physics-based simulation and control strategies define the future of robotics, particularly for soft systems operating in human environments. Drake, an open-source physics engine, addresses the complexities of contact mechanics through hydroelastic simulation, providing a robust alternative to purely data-driven models. While deep learning has revolutionized perception, physics-based understanding remains critical for manipulation tasks where contact dynamics are central. Effective robotic design requires a synergy between hardware and software, where controllers leverage natural dynamics to minimize effort. Future advancements in soft robotics depend on achieving long-term reliability and adaptability, enabling robots to assist with aging in place. By integrating rigorous mathematical frameworks with flexible design, researchers aim to move beyond rigid, narrow-domain applications toward versatile, intelligent systems capable of navigating the unpredictable nature of the home.
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