Cognitive Robotics Fall 2022: Introduction and Research Interests

What is the key idea behind Probabilistic Robotics?

Using the calculus of probability theory

In the context of Axioms of Probability Theory, what does P(True) equal to?

1

What does the Axiom 𝑃(𝐴∪𝐵)=𝑃(𝐴)+𝑃(𝐵)−𝑃(𝐴∩𝐵) represent?

Union of probabilities

What is the main focus of Discrete Random Variables in probabilistic robotics?

Uncertain and countable values Signup and view all the answers

Which book covers the topic of Probabilistic Robotics and who are the authors?

Probabilistic Robotics by Sebastian Thrun, Wolfram Burgard, Dieter Fox Signup and view all the answers

What is AbdElMoniem Bayoumi's current affiliation?

Cairo University, Faculty of Engineering Signup and view all the answers

What are AbdElMoniem Bayoumi's research interests?

All of the above Signup and view all the answers

What is the grading policy for AbdElMoniem Bayoumi's course?

Project: 20%, Assignments: 10%, Midterm: 10%, Final Exam: 60% (written & closed book exam) Signup and view all the answers

Which conference did H. Osman, N. Darwish, and A. Bayoumi present their research in 2022?

IEEE Robotics and Automation Letters (RA-L) Signup and view all the answers

What are the research interests of R. Mostafa, H. Baraka, and A. Bayoumi based on the text?

Efficient light-weight detection and tracking in crowds Signup and view all the answers

What is a significant limitation of the Kalman filter when applied to realistic robotic problems?

It assumes linear systems, which are not always realistic for robotic problems Signup and view all the answers

What happens to the distribution when a nonlinear function is applied to a Gaussian input in the context of robotic problems?

The output distribution becomes non-Gaussian Signup and view all the answers

What makes the Kalman filter inapplicable when dealing with non-Gaussian distributions in the context of robotic problems?

The filter's reliance on linear systems Signup and view all the answers

What approach can be used to address the challenge posed by non-Gaussian distributions in robotic problems?

Local linearization Signup and view all the answers

Why are most realistic robotic problems challenging for the Kalman filter?

They involve nonlinear functions, leading to non-Gaussian distributions Signup and view all the answers

What is the role of the Jacobian matrix in Extended Kalman Filter (EKF) linearization?

It represents the tangent plane to the vector-valued function at a given point. Signup and view all the answers

What does the quality of the approximation in EKF linearization depend on?

The deviation from the non-linear function Signup and view all the answers

What is the purpose of the Extended Kalman Filter (EKF) algorithm?

To locally approximate non-linear functions with linear ones Signup and view all the answers

In landmark-based localization, what is the goal with respect to the robot's pose and its covariance?

To estimate the robot's pose and its covariance Signup and view all the answers

What does the map m with landmark positions represent in landmark-based localization?

The map of the environment Signup and view all the answers