Ames, Aaron D.

Biofuel-powered soft electronic skin with multiplexed and wireless sensing for human-machine interfaces

Yu, Y., Nassar, J., Xu, C., Min, J., Yang, Y., Dai, A., Doshi, R., Huang, A., Song, Y., Gehlhar, R., et al. (2020) · Science Robotics

Advanced Sensor and Energy Harvesting MaterialsSoft Robotics and Applications

Cited by 655

Comparative Analysis of Control Barrier Functions and Artificial Potential Fields for Obstacle Avoidance

Singletary, A., Klingebiel, K., Bourne, J., Browning, A., Tokumaru, P., & Ames, A. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotic Path Planning AlgorithmsFormal Methods in Verification

Cited by 182

Data-Driven Safety Filters: Hamilton-Jacobi Reachability, Control Barrier Functions, and Predictive Methods for Uncertain Systems

Wabersich, K. P., Taylor, A. J., Choi, J. J., Sreenath, K., Tomlin, C. J., Ames, A. D., & Zeilinger, M. N. (2023) · IEEE Control Systems

Formal Methods in VerificationAdvanced Control Systems Optimization

Cited by 132

A review of current state-of-the-art control methods for lower-limb powered prostheses

Gehlhar, R., Tucker, M., Young, A. J., & Ames, A. D. (2023) · Annual Reviews in Control

Prosthetics and Rehabilitation RoboticsMuscle activation and electromyography studies

Cited by 131

Safety-Critical Control With Input Delay in Dynamic Environment

Molnar, T. G., Kiss, A. K., Ames, A. D., & Orosz, G. (2023) · IEEE Transactions on Control Systems Technology

Formal Methods in VerificationAdvanced Control Systems Optimization

Cited by 83

Dynamic Walking with Compliance on a Cassie Bipedal Robot

Reher, J., Ma, W.-L., & Ames, A. D. (2019) · 2019 18th European Control Conference (ECC)

Robotic Locomotion and ControlProsthetics and Rehabilitation Robotics

Cited by 81

Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies

Rosolia, U., & Ames, A. D. (2021) · IEEE Control Systems Letters

Advanced Control Systems OptimizationFormal Methods in Verification

Cited by 65

Online Learning of Unknown Dynamics for Model-Based Controllers in Legged Locomotion

Sun, Y., Ubellacker, W. L., Ma, W.-L., Zhang, X., Wang, C., Csomay-Shanklin, N. V., Tomizuka, M., Sreenath, K., & Ames, A. D. (2021) · IEEE Robotics and Automation Letters

Robotic Locomotion and ControlReinforcement Learning in Robotics

Cited by 54

A quantitative framework for layered multirate control: Toward a theory of control architecture

Matni, N., Ames, A. D., & Doyle, J. C. (2024) · IEEE Control Systems

Advanced Control Systems OptimizationSystems Engineering Methodologies and Applications

Cited by 39

Input-to-State Safety with Input Delay in Longitudinal Vehicle Control

Molnar, T. G., Alan, A., Kiss, A. K., Ames, A. D., & Orosz, G. (2022) · IFAC-PapersOnLine

Traffic control and managementVehicle Dynamics and Control Systems

Cited by 19

Robust Safety-Critical Control for Input-Delayed System with Delay Estimation

Kim, Y., Kim, J., Ames, A. D., & Sloth, C. (2024) · 2024 European Control Conference (ECC)

Formal Methods in VerificationStability and Control of Uncertain Systems

Cited by 5

Minimizing Conservatism in Safety-Critical Control for Input-Delayed Systems via Adaptive Delay Estimation

Kim, Y., Das, E., Kim, J., Ames, A. D., Burdick, J. W., & Sloth, C. (2024) · arXiv

Stability and Control of Uncertain SystemsFormal Methods in Verification

Cited by 1

Integral Control Barrier Functions With Input Delay: Prediction, Feasibility, and Robustness

Kiss, A. K., Das, E., Molnar, T. G., & Ames, A. D. (2026) · IEEE Control Systems Letters

Stability and Control of Uncertain SystemsAdvanced Control Systems Optimization

Cited by 0