Complex manipulation tasks require careful integration of symbolic reasoning and motion planning. This problem, commonly referred to as Task Motion Planning (TAMP), is even more challenging if the workspace non-static, e.g. due human interventions perceived with noisy non-ideal sensors. work proposes an online approximated TAMP method that combines a geometric module planner standard task in re...

We propose a distributed data-based predictive control scheme to stabilize network system described by linear dynamics. Agents cooperate predict the future evolution without knowledge of dynamics, relying instead on learning representation from single sample trajectory. employ this reformulate finite-horizon Linear Quadratic Regulator problem as optimization with separable objective functions a...

One of the most successful techniques to arise from modern control theory works in the following way. Using current measurements of states of the system, control values are determined that make the output of the system follow a desired trajectory over a specifi ed interval of time into the future. Assuming suffi cient computational power and a suffi ciently accurate model of the system, numeric...