Bio-inspired robotics Bio-inspired robotics is a design paradigm that combines advanced materials, neuromorphic control systems and biomechanical engineering to create machines that outperform conventional rigid robots in adaptability and efficiency. This combination pattern integrates four key technological synergies: first, material and actuator systems like gecko-inspired climbing robots employ nano-structured dry adhesives paired with shape-memory alloy actuators. This achieves adhesion efficiency while sustaining shear forces – enabling industrial inspections in hazardous environments. Second, sensor and control architectures allow robotic fish to use pressure-sensitive lateral line sensors and biomimetic sonar arrays coupled with shunting neurodynamic models based on biological neural networks, achieving real-time obstacle avoidance response rates and reducing collision risks in coral reef monitoring tasks. Collectively, these bio-inspired systems are demonstrating three- to five-times greater improvements in energy efficiency, adaptability and task specialization compared to traditional robotics approaches, converting evolutionary constraints like energy scarcity and environmental unpredictability into engineering strengths. 2 3 22 2 3 12 Bio-inspired roboticsBiomimetic actuators Bio-inspired multifunctional materialsSoft robotics Neural control systems Biological motion studiesSmart materials Shape memory alloys (SMAs)Adaptive locomotion Technology domain Robotics Advanced materials Engineering biology Maturity level 3 Product4 Commodity 1 Genesis2 Custom-builtN Industry Company Outcomes Manufacturing and consumer goodsFigure AIHumanoid robots support workforce productivity while reducing operational costs, and improve versatility by combining human-like dexterity with advanced AI capabilities across multiple sectors. Healthcare industryAngel Robotics Angel Robotics provides real-time, sensor-free movement analysis, improving rehabilitation and daily life support through advanced biomechanics. Technology Convergence Report 36

Technology Convergence Report 2025