Technology Convergence Report 2025

Falling prices of robotics hardware components, a burgeoning ecosystem with new entrants and increasing global competition are making the field of robotics advance at unprecedented speed. Breakthroughs in adaptive control and biomimetic actuators are enhancing robotic flexibility and precision, while soft robotics improves delicate handling and multi-robot coordination boosts autonomous collaboration in dynamic environments. Meanwhile, established technologies like robotic manipulation, gesture recognition, motion planning, tactile sensors and robot-to-robot communication ensure reliability for large-scale deployment. Robotic manipulation allows precise tasks, motion planning optimizes navigation with autonomous vehicles and drones benefiting from these advancements. Cognitive robotics systems Cognitive robotics systems combine multi-modal sensor fusion, adaptive ML architectures, and real-time control optimization to create machines that genuinely understand and respond to their environments. This evolution moves robotics beyond pre-programmed routines towards contextual awareness and adaptive intelligence. Advanced vision-language models (VLMs) and 3D spatial AI now fuse data from LiDAR, cameras and inertial sensors to reduce environmental mapping errors. These perception advances are evident in practical applications such as integrating geometric and semantic understanding to allow robots to dynamically adjust paths in warehouses with fewer false positives in obstacle detection and pick-and- place tasks with higher efficiency. The impact of cognitive robotics extends across multiple domains through edge-based federated learning systems enable distributed robots to collaboratively refine their models without sharing sensitive data, reducing cloud dependency energy costs. In autonomous vehicles, the integration of radar and camera inputs with model predictive control has cut emergency braking response times. Industrial applications are equally transformative, with cognitive control frameworks using supervisory attentional systems to let robots switch tasks faster when human collaborators intervene.2.5 Robotics domain 3 3 43 2 3 32 Cognitive robotic systemsComputer vision systems Object detection and segmentationRobotic manipulation Adaptive and intelligent control Object recognitionLiDAR and photogrammetryReinforcement learning Small/efficient models Technology domain Robotics Artificial intelligence Spatial intelligence Maturity level 3 Product4 Commodity 1 Genesis2 Custom-builtN Industry Company Outcomes AutomotiveWaabiAn autonomous trucking platform that offers scalable, safe, and adaptable solutions to improve efficiency and reduce operational costs. Manufacturing and supply chain industryNEURA RoboticsCognitive robots increase productivity, reduce operational costs and enhance safety by automating workflows and enabling seamless human-robot collaboration. Technology Convergence Report 35