Behrouz Haji Soleimani Dr. Moradi Outline What is uncertainty? Some examples Solutions to uncertainty Ignoring uncertainty Markov Decision Process (MDP) Stochastic Motion…
Robot Motion and Perception(ch. 5, 6) These two chapters discuss how one obtains the motion model and measurement model mentioned before. They are needed for implementing…
Robot Environment Interaction Environment perception provides information about the environment’s state, and it tends to increase the robot’s knowledge. Motion (control…
1 1. overboard valve inspection in drydock. 2. diff bet overboard valve and shipside valve 3. During propeller mounting on the shaft, why is it required to position M/E unit…
Robot Motion Robot motion is inherently uncertain. How can we model this uncertainty? Dynamic Bayesian Network for Controls, States, and Sensations Probabilistic Motion Models…
Ch 17. Optimal control theory and the linear Bellman equation Ch 17. Optimal control theory and the linear Bellman equation HJ Kappen BTSM Seminar 12.07.19.(Thu) Summarized…
Tutorial Goal To familiarize you with probabilistic paradigm in robotics Basic techniques Advantages Pitfalls and limitations Successful Applications Open research issues…
Robot Motion Robot motion is inherently uncertain. How can we model this uncertainty? Dynamic Bayesian Network for Controls, States, and Sensations Probabilistic Motion Models…