We present a framework based on interval analysis and monotone systems t...
In this paper, we propose a computationally efficient framework for inte...
In this paper, we present a toolbox for interval analysis in numpy, with...
In this paper, we present a contraction-guided adaptive partitioning
alg...
This paper proposes a computationally efficient framework, based on inte...
This paper proposes a theoretical and computational framework for traini...
We use interval reachability analysis to obtain robustness guarantees fo...
Implicit neural networks are a general class of learning models that rep...
This paper demonstrates that in some cases the safety override arising f...
Control barrier functions are mathematical constructs used to guarantee
...
Safety requirements in dynamical systems are commonly enforced with set
...
In this paper, we propose a framework for the control of mobile robots
s...
A number of coordinated behaviors have been proposed for achieving speci...
In this paper, a method to synthesize controllers using finite time
conv...