Aug 10, 2023 · Abstract:In this paper, we consider a way to safely navigate the robots in unknown environments using measurement data from sensory devices.

This paper attempts to develop a method that can effectively use past data in different environments to quickly learn the CBF candidate in the current setting.

Sep 6, 2024 · 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 promising approaches to enforcing safety in robot navigation and the recent progress on learning-based ...

Nov 2, 2024 · Data-efficient safe learning and control with on-board sensors: Bayesian meta-learning and barrier function based approach. September 2024.

Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors ... The proposed scheme realizes efficient online synthesis of the controller ...

Data-efficient safe learning and control with on-board sensors: Bayesian meta-learning and barrier function based approach. W Hashimoto, K Hashimoto, A Wachi, X ...

This article proposes a practical and theoretically justified approach to maintain safety in the presence of dynamics uncertainty that leverages Bayesian ...

Apr 28, 2024 · This paper presents a method for safe active search using Bayesian optimization and control barrier functions.

Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors. 2023, arXiv. View all citing articles on Scopus. Duy Nguyen-Tuong has been ...