A robotics researcher has been announced as one of the recipients of the 2009 Leibniz Prize – the most prestigious German research prize awarding up to €2.5 million per award. Wolfram Burgard, ...

This project contains Python3 implementations and results of a variety of state estimation and SLAM algorithms in Sebastian Thrun's book Probabilistic Robotics using UTIAS Multi-Robot Cooperative ...

Comprehensive collection of fundamental robotics algorithms including SLAM, localization, control, and reinforcement learning. Features implementations of particle filters, Kalman filters, PPO, and ...

You have probably used your math background if you have been playing with robots for awhile. However, unless you have been doing video processing, you may not have been able to take advantage of that ...

Abstract: In legged robotics locomotion, extracting comprehensive local information from terrain is essential for generating specific leg motions and navigating through unstructured areas. This ...

Swarm robotics studies how large groups of robots can solve relatively complex tasks cooperatively. Much of the source code developed for swarm robotics is done in an ad-hoc manner, which is difficult ...

Swarm robotics studies large groups of robots that work together to accomplish common tasks. Much of the used source code is developed in an ad-hoc manner, meaning that the correctness of the ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...