Safe and efficient robot manipulation in uncertain clustered environments has been
recognized to be a key element of future intelligent industrial robots. Unlike traditional robots …

In this paper, we present an approach for quantifying the propagated uncertainty of robot
systems in an online and data-driven manner. Especially in Human-Robot Collaboration …

In this paper, an approach for computing online safety zones for collaborative robotics in a
robust way, despite uncertain robot dynamics, is proposed. The strategy implements the …

Safety during interaction with unstructured and dynamic environments is now a well
established requirement for complex robotic systems. A wide variety of approaches focus on …

This paper considers safe control synthesis for dynamical systems with either probabilistic or
worst-case uncertainty in both the dynamics model and the safety constraints. We formulate …

This letter proposes a formal robot motion risk reasoning framework and develops a risk-
aware path planner that minimizes the proposed risk. While robots locomoting in …

Human-robot interactions have been recognized to be a key element of future industrial
collaborative robots (co-robots). Unlike traditional robots that work in structured and …

Jointly achieving safety and efficiency in human-robot interaction settings is a challenging
problem, as the robot's planning objectives may be at odds with the human's own intent and …

Safety in terms of collision avoidance for multi-robot systems is a difficult challenge under
uncertainty, non-determinism, and lack of complete information. This paper aims to propose …

Robotic systems are becoming more pervasive, and have the potential to significantly
improve human lives. However, for these benefits to be realized it is critical that the safe …