Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
— This paper presents two new approaches to planning with uncertainty in position that achieve better performance than existing techniques and that are able to incorporate change...
This chapter describes a principled, yet computationally efficient way for a team of UAVs with Received Signal Strength Indicator (RSSI) sensors to locate radio frequency emitting...
Paul Scerri, Robin Glinton, Sean Owens, Steven Oka...
This paper presents a new globally convergent rangesensor based navigation algorithm in three-dimensions, called 3DBug. The 3DBug algorithm navigates a point robot in a three-dime...
While there has been much work on developing frameworks and models of norms and normative systems, consideration of the impact of norms on the practical reasoning of agents has at...