Chapter 23 Cognitive Robotics

A use case of an adaptive cognitive architecture for the operation of humanoid robots in real environments

“…Vernon et al 3 offer a very complete survey of artificial cognitive systems and their implications for the development of computational agents, while Levesque and Lakemeyer 11 offer an overview of the challenges and efforts taken in the subject of cognitive robotics. A cognitive architecture can support several capabilities and can differ variedly in its set of abilities.…”

Bridging the Gap between High-Level Reasoning and Low-Level Control

“…Suppose that initially the robots r1 and r2 are at (1,1) and (2,1) respectively, and the end points of the payload are at (4,1) and (9,1). The goal is to move the payload to a location so that its end points are at (4,9) and (9,9).…”

“…New levels of robustness, physical dexterity, and cognitive capability are necessitated from robots that can perform in dynamic environments involving humans. While traditional robotics design and construct extremely rigid robots with high position control gains, cognitive robotics [1] is concerned with providing robots with higher level cognitive functions that involve reasoning about goals, perception, actions, the mental states of other agents, collaborative task execution, etc., so that they can give high-level decisions to act intelligently in a dynamic world. This paper is an attempt to close the gap between traditional robotics and cognitive robotics, to meet the demands of various applications from robots.…”

“…For instance, [2] describes a system, LEGOLOG 1 , that controls a LEGO MINDSTORMS RIS robot using the high-level control language GOLOG [3] based on the situation calculus [4,5]. [6] presents an execution monitoring system for GOLOG and the RHINO control software which operates on RWI B21 and B14 mobile robots.…”

Reasoning with BDI Robots: From simulation to physical environment – Implementations and Limitations

“…There is continued interest in the development of cognitive robots [1][2][3][4][5] as theoretical concepts [6] and as implementations, whether laboratory based [7], or application focused [8]. Application areas for such robots, whether as single artifacts or ecologies, can include environments unapproachable or dangerous for human beings [9], assistive robots in the home, particularly as part of a larger ambient digital ecology [10], and the next generation of industrial robots [11,12].…”