The effective deployment of robots in risky and crowded environments (RCE) requires the
specification of robot plans that are consistent with humans' behaviors. As is well known …

This paper proposes a risk-aware control approach to enforce safety for discrete-time
nonlinear systems subject to stochastic uncertainties. We derive some useful results on the …

This paper presents a self‐triggered control approach with the view of risks for discrete‐time
linear stochastic systems. More specifically, under the assumption that the first two moments …

Effective robotic deployment in uncertain risky and rewarding environments demand diverse
reasoning and planning capabilities from robots. In this work, we propose a novel behavioral …

Due to the information non-independence of attributes, combined with a complex and
changeable environment, the analysis of risks faces great difficulties. In view of this problem …

This article introduces the notions of stability, ultimate boundedness, and positive invariance
for stochastic systems in view of risk. More specifically, those notions are defined in terms of …

This work presents and evaluates a novel strategy for robotic exploration that leverages
human models of uncertainty perception. To do this, we introduce a measure of uncertainty …

Successful robotic deployment in challenging environments requires diverse reasoning and
reactive control techniques to deal with uncertainty and risk. In this work, we propose a novel …

This paper considers the problem of guaranteeing avoidance of critical state space regions
during tracking of reference trajectories for systems with dynamics equivalent to r-th order …

This paper proposes the combination of a fast motion planner, which generates potentially
unfeasible trajectories for the center of mass of an underactuated UAV, with a tracking …