1 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors
Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi +3
In this paper, we consider a way to safely navigate the robots in unknown environments using measurement data from sensory devices. The control barrier function (CBF) is one of the…
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks
Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida +1
In this paper, we propose a control synthesis method for signal temporal logic (STL) specifications with neural networks (NNs). Most of the previous works consider training a contr…
A Lifting Approach to Learning-Based Self-Triggered Control with Gaussian Processes
Wang Zhijun, Kazumune Hashimoto, Wataru Hashimoto +1
This paper investigates the design of self-triggered control for networked control systems (NCS), where the dynamics of the plant is unknown apriori. To deal with the nature of the…
STL2vec: Signal Temporal Logic Embeddings for Control Synthesis With Recurrent Neural Networks
Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai
In this paper, a method for learning a recurrent neural network (RNN) controller that maximizes the robustness of signal temporal logic (STL) specifications is presented. In contra…