Dynamic walking: Toward agile and efficient bipedal robots

J Reher, AD Ames - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
Dynamic walking on bipedal robots has evolved from an idea in science fiction to a practical
reality. This is due to continued progress in three key areas: a mathematical understanding …

Securing the internet of robotic things: a comprehensive review on machine learning-based intrusion detection

M Nkoom, SG Hounsinou… - Journal of Cyber Security …, 2024 - Taylor & Francis
ABSTRACT The Internet of Robotic Things (IoRT) emerges from integrating robotics into the
Internet of things (IoT). The dynamic nature of the IoRT environment poses unique security …

[PDF][PDF] Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation.

A Agrawal, K Sreenath - Robotics: Science and Systems, 2017 - m.roboticsproceedings.org
In this paper, we extend the concept of control barrier functions, developed initially for
continuous time systems, to the discrete-time domain. We demonstrate safety-critical control …

Safe controller synthesis with tunable input-to-state safe control barrier functions

A Alan, AJ Taylor, CR He, G Orosz… - IEEE Control Systems …, 2021 - ieeexplore.ieee.org
To bring complex systems into real world environments in a safe manner, they will have to
be robust to uncertainties-both in the environment and the system. This letter investigates …

Barrier Lyapunov function-based safe reinforcement learning for autonomous vehicles with optimized backstep**

Y Zhang, X Liang, D Li, SS Ge, B Gao… - … on Neural Networks …, 2022 - ieeexplore.ieee.org
Guaranteed safety and performance under various circumstances remain technically critical
and practically challenging for the wide deployment of autonomous vehicles. Safety-critical …

Robust feedback motion policy design using reinforcement learning on a 3d digit bipedal robot

GA Castillo, B Weng, W Zhang… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
In this paper, a hierarchical and robust framework for learning bipedal locomotion is
presented and successfully implemented on the 3D biped robot Digit built by Agility …

Disturbance observers for robust safety-critical control with control barrier functions

A Alan, TG Molnar, E Daş, AD Ames… - IEEE control systems …, 2022 - ieeexplore.ieee.org
This letter provides formal safety guarantees for control systems with disturbance. A
disturbance observer-based robust safety-critical controller is proposed, that estimates the …

Towards a framework for realizable safety critical control through active set invariance

T Gurriet, A Singletary, J Reher… - 2018 ACM/IEEE 9th …, 2018 - ieeexplore.ieee.org
This paper presents initial results towards a realizable framework for the safety critical
controlled invariance of cyber-physical systems. The main contribution of this paper is the …

Adaptive safe reinforcement learning with full-state constraints and constrained adaptation for autonomous vehicles

Y Zhang, X Liang, D Li, SS Ge, B Gao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
High-performance learning-based control for the typical safety-critical autonomous vehicles
invariably requires that the full-state variables are constrained within the safety region even …

Robust control barrier functions with sector-bounded uncertainties

J Buch, SC Liao, P Seiler - IEEE Control Systems Letters, 2021 - ieeexplore.ieee.org
This letter focuses on safety-critical control with sector-bounded uncertainties at the plant
input. The uncertainties can represent nonlinear and/or time-varying components. We …