Robot navigation using a sparse distributed memory

— Despite all the progress that has been made in Robotics and Artificial Intelligence, traditional approaches seem unsuitable to build truly intelligent robots, exhibiting human-like behaviours. Many authors agree that the source of intelligence is, to a great extent, the use of a huge memory, where sequences of events that guide our later behaviour are stored. Inspired by that idea, our approach is to navigate a robot using sequences of images stored in a Sparse Distributed Memory—a kind of associative memory based on the properties of high dimensional binary spaces, which, in theory, exhibits some human-like behaviours. The robot showed good ability to correctly follow most of the sequences learnt, with small errors and good immunity to the kidnapped robot problem.

• Type: Conference
• Year: 2008
• Where: ICRA
• Authors: Mendes Mendes, Manuel Marques Crisóstomo, A. Paulo Coimbra
• Keywords: Human-like Behaviours, ICRA 2008, Kidnapped Robot Problem, Robotics, Sequences