We introduce reachability analysis for the formal examination of robots. We propose a novel identification method, which preserves reachset conformance of linear systems. We additionally propose a simultaneous identification and control synthesis scheme to obtain optimal controllers with formal guarantees. In a case study, we examine the effectiveness of using reachability analysis to synthesize a state-feedback controller, a velocity observer, and an output feedback controller.Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl
Robot control for tasks such as moving around obstacles or grasping objects has advanced significant...
The paperstud=W the problem of reachability for linear systems in the presence of uncertain input dp...
Performing real-time receding horizon motion planning for autonomous vehicles while providing safety...
We introduce reachability analysis for the formal examination of robots. We propose a novel identifi...
Autonomous systems are often safety-critical and are expected to work in uncertain environments. En...
Automation is becoming pervasive in everyday life, and many automated systems, such as unmanned aeri...
Modern robots are increasingly expected to function in uncertain and dynamically challenging environ...
Due to their limited sensing horizon, robots construct trajectories in a receding-horizon fashion, w...
In this paper, we present a data-driven framework for real-time estimation of reachable sets for con...
obotics has provided the motivation and inspi-ration for many innovations in planning and control. F...
Reachability analysis is a formal method to guarantee safety of dynamical systems under the influenc...
Recently developed techniques in automatic synthesis of correct-by-construction robot controllers fr...
Robotic systems are becoming more pervasive, and have the potential to significantly improve human l...
To reduce complexity of system analysis and control design, simplified models that capture the behav...
Formal methods are widely used in engineering to determine whether a system exhibits a certain prope...
Robot control for tasks such as moving around obstacles or grasping objects has advanced significant...
The paperstud=W the problem of reachability for linear systems in the presence of uncertain input dp...
Performing real-time receding horizon motion planning for autonomous vehicles while providing safety...
We introduce reachability analysis for the formal examination of robots. We propose a novel identifi...
Autonomous systems are often safety-critical and are expected to work in uncertain environments. En...
Automation is becoming pervasive in everyday life, and many automated systems, such as unmanned aeri...
Modern robots are increasingly expected to function in uncertain and dynamically challenging environ...
Due to their limited sensing horizon, robots construct trajectories in a receding-horizon fashion, w...
In this paper, we present a data-driven framework for real-time estimation of reachable sets for con...
obotics has provided the motivation and inspi-ration for many innovations in planning and control. F...
Reachability analysis is a formal method to guarantee safety of dynamical systems under the influenc...
Recently developed techniques in automatic synthesis of correct-by-construction robot controllers fr...
Robotic systems are becoming more pervasive, and have the potential to significantly improve human l...
To reduce complexity of system analysis and control design, simplified models that capture the behav...
Formal methods are widely used in engineering to determine whether a system exhibits a certain prope...
Robot control for tasks such as moving around obstacles or grasping objects has advanced significant...
The paperstud=W the problem of reachability for linear systems in the presence of uncertain input dp...
Performing real-time receding horizon motion planning for autonomous vehicles while providing safety...