Model-Based Optimization for Robotics, IEEE Robotics and Automation Technical Committee on
The scope of the IEEE RAS TC on Model-Based Optimization for Robotics is the design, development, implementation, and application of algorithms for model-based optimization for the planning and control of dynamic behaviors for complex robots. High-dimensional robots are extremely complicated dynamical systems for which the generation of dynamic behaviors is challenging and computationally intensive. Such robots will also need to automatically generate and control a wide range of behaviors in order to be flexible and adapt to changing environments. Optimization, or optimal control, offers a promising way to generate behaviors automatically based on standard principles (e.g., cost functions, constraints). Recent developments in optimization algorithms and computational hardware have begun to enable the real-time use and real-world deployment of such approaches, promising a bright future for the dynamic application of model-based optimization for robotics.
Website:https://www.ieee-ras.org/model-based-optimization-for-robotics
