most citedSelf-Supervised Online Learning for Safety-Critical Control using Stereo Vision

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2022

Energy-efficient Connected Cruise Control with Lean Penetration of Connected Vehicles

Minghao Shen, Chaozhe R. He, Tamas Molnar +2

This paper focuses on energy-efficient longitudinal controller design for a connected automated truck that travels in mixed traffic consisting of connected and non-connected vehicl…

cs.RO2022

Safety-Critical Manipulation for Collision-Free Food Preparation

Andrew Singletary, William Guffey, Tamas G. Molnar +2

Recent advances allow for the automation of food preparation in high-throughput environments, yet the successful deployment of these robots requires the planning and execution of q…

eess.SY2022

Safe Backstepping with Control Barrier Functions

Andrew J. Taylor, Pio Ong, Tamas G. Molnar +1

Complex control systems are often described in a layered fashion, represented as higher-order systems where the inputs appear after a chain of integrators. While Control Barrier Fu…

cs.RO20222 cited

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision

Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamas G. Molnar +4

With the increasing prevalence of complex vision-based sensing methods for use in obstacle identification and state estimation, characterizing environment-dependent measurement err…

eess.SY2021

Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State

Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor +3

The increasing complexity of modern robotic systems and the environments they operate in necessitates the formal consideration of safety in the presence of imperfect measurements.…