76 citations · 102 across the 23 of their papers we have counts for
24 papers
Backup Control Barrier Functions with Memory for Online Set Expansion
M. Yusuf Uzun, Ersin Das
Backup control barrier functions (bCBFs) construct implicit safe sets for nonlinear systems with bounded inputs using finite-horizon predictions under a backup controller. As in mo…
Backup Control Barrier Function Synthesis using Sum-of-Squares Reachability
Jungbae Chun, Shima Sadat Mousavi, David E. J. van Wijk +3
Backup control barrier functions (bCBFs) enforce safety for input-constrained nonlinear systems using a pre-certified backup set and controller, but their performance depends stron…
Robust Adaptive Backup Control Barrier Functions
Ersin Daş, David E. J. van Wijk, Tamas G. Molnar +2
We propose a notion of robust adaptive backup control barrier functions for nonlinear control affine systems with parametric uncertainty in both the drift dynamics and actuation ma…
D-SafeMPC: Diffusion-Driven Safe Model Predictive Control with Discrete-Time Control Barrier Functions
Erdi Sayar, Ersin Daş, Joel W. Burdick +2
A key limitation on the use of diffusion models in robotic planning is their inability to inherently enforce safety or dynamical constraints, which often results in physically infe…
Probabilistic Control Barrier Functions for Systems with State Estimation Uncertainty using Sub-Gaussian Concentration
Kazuya Echigo, David E. J. van Wijk, Pol Mestres +3
Safety-critical control systems, such as spacecraft performing proximity operations, must provide formal safety guarantees despite stochastic uncertainties from state estimation an…
Integral Control Barrier Functions with Input Delay: Prediction, Feasibility, and Robustness
Adam K. Kiss, Ersin Das, Tamas G. Molnar +1
Time delays in feedback control loops can cause controllers to respond too late, and with excessively large corrective actions, leading to unsafe behavior (violation of state const…
Generalizations of Backup Control Barrier Functions: Expansion and Adaptation for Input-Bounded Safety-Critical Control
David E. J. van Wijk, Dohyun Lee, Ersin Das +3
Guaranteeing the safety of nonlinear systems with bounded inputs remains a key challenge in safe autonomy. Backup control barrier functions (bCBFs) provide a powerful mechanism for…
Enforcing Mixed State-Input Constraints with Multiple Backup Control Barrier Functions: A Projection-based Approach
Laszlo Gacsi, Adam K. Kiss, Ersin Das +1
Ensuring the safety of control systems often requires the satisfaction of constraints on states (such as position or velocity), control inputs (such as force), and a mixture of sta…
Explicit Control Barrier Function-based Safety Filters and their Resource-Aware Computation
Pol Mestres, Shima Sadat Mousavi, Pio Ong +4
This paper studies the efficient implementation of safety filters that are designed using control barrier functions (CBFs), which minimally modify a nominal controller to render it…
Safety-Critical Control with Bounded Inputs: A Closed-Form Solution for Backup Control Barrier Functions
David E. J. van Wijk, Ersin Das, Tamas G. Molnar +2
Verifying the safety of controllers is critical for many applications, but is especially challenging for systems with bounded inputs. Backup control barrier functions (bCBFs) offer…
Safe Payload Transfer with Ship-Mounted Cranes: A Robust Model Predictive Control Approach
Ersin Das, William A. Welch, Patrick Spieler +14
Ensuring safe real-time control of ship-mounted cranes in unstructured transportation environments requires handling multiple safety constraints while maintaining effective payload…
Safe Navigation under State Uncertainty: Online Adaptation for Robust Control Barrier Functions
Ersin Das, Rahal Nanayakkara, Xiao Tan +4
Measurements and state estimates are often imperfect in control practice, posing challenges for safety-critical applications, where safety guarantees rely on accurate state informa…
AI Space Cortex: An Experimental System for Future Era Space Exploration
Thomas Touma, Ersin Daş, Erica Tevere +9
Our Robust, Explainable Autonomy for Scientific Icy Moon Operations (REASIMO) effort contributes to NASA's Concepts for Ocean worlds Life Detection Technology (COLDTech) program, w…
Uncertainty Estimators for Robust Backup Control Barrier Functions
David E. J. van Wijk, Ersin Das, Anil Alan +5
Designing safe controllers is crucial and notoriously challenging for input-constrained safety-critical control systems. Backup control barrier functions offer an approach for the…
Minimizing Conservatism in Safety-Critical Control for Input-Delayed Systems via Adaptive Delay Estimation
Yitaek Kim, Ersin Das, Jeeseop Kim +3
Input delays affect systems such as teleoperation and wirelessly autonomous connected vehicles, and may lead to safety violations. One promising way to ensure safety in the presenc…
Zero-Order Control Barrier Functions for Sampled-Data Systems with State and Input Dependent Safety Constraints
Xiao Tan, Ersin Das, Aaron D. Ames +1
We propose a novel zero-order control barrier function (ZOCBF) for sampled-data systems to ensure system safety. Our formulation generalizes conventional control barrier functions…
Bayesian Optimal Experimental Design for Robot Kinematic Calibration
Ersin Das, Thomas Touma, Joel W. Burdick
This paper develops a Bayesian optimal experimental design for robot kinematic calibration on . Our method builds upon a Gaussian process ap…
Rollover Prevention for Mobile Robots with Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety
Ersin Das, Aaron D. Ames, Joel W. Burdick
This paper develops rollover prevention guarantees for mobile robots using control barrier function (CBF) theory, and demonstrates the method experimentally. We consider a safety m…
Robust Control Barrier Functions using Uncertainty Estimation with Application to Mobile Robots
Ersin Das, Joel W. Burdick
This paper proposes a safety-critical control design approach for nonlinear control affine systems in the presence of matched and unmatched uncertainties. Our constructive framewor…
A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
Neil C. Janwani, Ersin Daş, Thomas Touma +3
Ensuring robot safety in complex environments is a difficult task due to actuation limits, such as torque bounds. This paper presents a safety-critical control framework that lever…
Robust Control Barrier Functions with Uncertainty Estimation
Ersin Daş, Skylar X. Wei, Joel W. Burdick
This paper proposes a safety controller for control-affine nonlinear systems with unmodelled dynamics and disturbances to improve closed-loop robustness. Uncertainty estimation-bas…
An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Daş, Joel W. Burdick
Future NASA lander missions to icy moons will require completely automated, accurate, and data efficient calibration methods for the robot manipulator arms that sample icy terrains…
Disturbance Observers for Robust Safety-critical Control with Control Barrier Functions
Anil Alan, Tamas G. Molnar, Ersin Das +2
This work provides formal safety guarantees for control systems with disturbance. A disturbance observer-based robust safety-critical controller is proposed, that estimates the eff…
Robust Safe Control Synthesis with Disturbance Observer-Based Control Barrier Functions
Ersin Daş, Richard M. Murray
In a complex real-time operating environment, external disturbances and uncertainties adversely affect the safety, stability, and performance of dynamical systems. This paper prese…