The safety filter: A unified view of safety-critical control in autonomous systems
Recent years have seen significant progress in the realm of robot autonomy, accompanied
by the expanding reach of robotic technologies. However, the emergence of new …
by the expanding reach of robotic technologies. However, the emergence of new …
Safety-critical control for autonomous systems: Control barrier functions via reduced-order models
Modern autonomous systems, such as flying, legged, and wheeled robots, are generally
characterized by high-dimensional nonlinear dynamics, which presents challenges for …
characterized by high-dimensional nonlinear dynamics, which presents challenges for …
Data-driven safety filters: Hamilton-jacobi reachability, control barrier functions, and predictive methods for uncertain systems
Today's control engineering problems exhibit an unprecedented complexity, with examples
including the reliable integration of renewable energy sources into power grids, safe …
including the reliable integration of renewable energy sources into power grids, safe …
Model-free safety-critical control for robotic systems
This letter presents a framework for the safety-critical control of robotic systems, when safety
is defined on safe regions in the configuration space. To maintain safety, we synthesize a …
is defined on safe regions in the configuration space. To maintain safety, we synthesize a …
Refining control barrier functions through Hamilton-Jacobi reachability
Safety filters based on Control Barrier Functions (CBFs) have emerged as a practical tool for
the safety-critical control of autonomous systems. These approaches encode safety through …
the safety-critical control of autonomous systems. These approaches encode safety through …
Increasing perceived safety in motion planning for human-drone interaction
Safety is crucial for autonomous drones to operate close to humans. Besides avoiding
unwanted or harmful contact, people should also perceive the drone as safe. Existing safe …
unwanted or harmful contact, people should also perceive the drone as safe. Existing safe …
Soft-minimum and soft-maximum barrier functions for safety with actuation constraints
This paper presents two new control approaches for guaranteed safety (remaining in a safe
set) subject to actuator constraints (the control is in a convex polytope). The control signals …
set) subject to actuator constraints (the control is in a convex polytope). The control signals …
Robust control barrier functions using uncertainty estimation with application to mobile robots
E Daş, JW Burdick - IEEE Transactions on Automatic Control, 2025 - ieeexplore.ieee.org
This paper proposes a safety-critical control design approach for nonlinear control affine
systems in the presence of matched and unmatched uncertainties. Our constructive …
systems in the presence of matched and unmatched uncertainties. Our constructive …
Safe control synthesis using environmentally robust control barrier functions
In this paper, we study a safe control design for dynamical systems in the presence of
uncertainty in a dynamical environment. The worst-case error approach is considered to …
uncertainty in a dynamical environment. The worst-case error approach is considered to …
Risks of Drone Use in Light of Literature Studies
This article aims to present the results of a bibliometric analysis of relevant literature and
discuss the main research streams related to the topic of risks in drone applications. The …
discuss the main research streams related to the topic of risks in drone applications. The …