—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
Suppose that two perspective views of four world points are given, that the intrinsic parameters are known, but the camera poses and the world point positions are not. We prove tha...
Future space missions, such as Mars Science Laboratory, are built upon computing platforms providing a high degree of autonomy and diverse functionality. The increased sophisticat...
Damian Dechev, Peter Pirkelbauer, Nicolas Rouquett...
The high degree of complexity and autonomy of future robotic space missions, such as Mars Science Laboratory (MSL), poses serious challenges in assuring their reliability and efï¬...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...