Scalable and convergent multi-robot passive and active sensing

— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of efficient and scalable multi-robot passive and active sensing (estimation) methodologies. The main reason for this is the absence of theoretical and practical tools that can provide computationally tractable methodologies which can deal efficiently with the highly nonlinear and uncertain nature of multi-robot dynamics when employed in the aforementioned tasks. In this paper, a new approach is proposed and analyzed for developing efficient and scalable methodologies for a general class of multi-robot passive and active sensing applications. The proposed approach employs an estimation scheme that switches among linear elements and, as a result, its computational requirements are about the same as those of a linear estimator. The parameters of the switching estimator are calculated offline using a convex optimiz...

• Type: Conference
• Year: 2009
• Where: IROS
• Authors: Elias B. Kosmatopoulos, Lefteris Doitsidis, Konstantinos Aboudolas
• Keywords: Active Sensing, IROS 2009, Multi-robot Passive, Robotics, Scalable Multi-robot Passive