most citedControl Barrier Functions for Shared Control and Vehicle Safety

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Context-Conditioned Hamilton-Jacobi Reachability for Adaptive Safety Filtering

Ali Fuat Sahin, Yunus Yazoglu, John Talbot +3

Hamilton-Jacobi reachability constructs safety certificates for specified dynamics and safety constraints, tying each certificate to the deployment context for which it is synthesi…

cs.RO2026

Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle

James Dallas, Thomas Lew, John Talbot +3

Safety filters provide a practical approach for enforcing safety constraints in autonomous systems. While learning-based tools scale to high-dimensional systems, their performance…

cs.RO2025

Cyber Racing Coach: A Haptic Shared Control Framework for Teaching Advanced Driving Skills

Congkai Shen, Siyuan Yu, Yifan Weng +7

This study introduces a haptic shared control framework designed to teach human drivers advanced driving skills. In this context, shared control refers to a driving mode where the…

cs.RO2025

Spatial Envelope MPC: High Performance Driving without a Reference

Siyuan Yu, Congkai Shen, Yufei Xi +5

This paper presents a novel envelope based model predictive control (MPC) framework designed to enable autonomous vehicles to handle high performance driving across a wide range of…

eess.SY2025★ 3 cited

Control Barrier Functions for Shared Control and Vehicle Safety

James Dallas, John Talbot, Makoto Suminaka +4

This manuscript presents a control barrier function based approach to shared control for preventing a vehicle from entering the part of the state space where it is unrecoverable. T…