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Dynamic walking: Toward agile and efficient bipedal robots
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 …
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 …
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.
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 …
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
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 …
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**
Guaranteed safety and performance under various circumstances remain technically critical
and practically challenging for the wide deployment of autonomous vehicles. Safety-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
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 …
presented and successfully implemented on the 3D biped robot Digit built by Agility …
Disturbance observers for robust safety-critical control with control barrier functions
This letter provides formal safety guarantees for control systems with disturbance. A
disturbance observer-based robust safety-critical controller is proposed, that estimates the …
disturbance observer-based robust safety-critical controller is proposed, that estimates the …
Towards a framework for realizable safety critical control through active set invariance
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 …
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
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 …
invariably requires that the full-state variables are constrained within the safety region even …
Robust control barrier functions with sector-bounded uncertainties
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 …
input. The uncertainties can represent nonlinear and/or time-varying components. We …