Four DRobotics Corp and Carleton University will investigate novel software and hardware architectures to increase the performance of Goal Based Reasoning. This is a four-year project funded by: Four DRobotics, NSERC, and Carleton University.
With the current wide availability of robotic platforms and the operating systems to support them, it is now possible to implement their control using high-level plan monitoring and execution systems such as agent frameworks that employ the Belief-Desire-Intention (BDI) paradigm. BDI enables the autonomous system developer to focus on implementation of various short-term plans (Intentions) and long-term goals (Desires) that an autonomous robot can execute in the current context of its perceptions (Beliefs). Within this framework the BDI engine can then select, execute and monitor the appropriate plan given the current context. Whilst deep learning thrives on the super-pipelined, highly parallel fabric of GPUs, an ideal architecture for BDI has not been found. Toward this goal the project will research the design of software and hardware architectures specifically suited for autonomous systems that employ BDI.