works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

9 papers

cs.RO2026

PC-Diffuser: Path-Consistent Capsule CBF Safety Filtering for Diffusion-Based Trajectory Planner

Eugene Ku, Yiwei Lyu

PC-Diffuser integrates a certifiable barrier-function safety filter directly into the denoising loop of diffusion-based trajectory planners for autonomous driving, ensuring forward…

cs.RO2026

Causality-Based Parametric Control Barrier Function for Safe Multi-Vehicle Interaction

Yiwei Lyu, Caleb Chang, John M. Dolan

Safe control has been widely studied in various safety-critical applications, for instance, autonomous driving. In order to ensure the autonomous vehicle does not collide with othe…

cs.RO2026

Capability-Aware Heterogeneous Control Barrier Functions for Decentralized Multi-Robot Safe Navigation

Joonkyung Kim, Yanze Zhang, Wenhao Luo +1

Safe navigation for multi-robot systems requires enforcing safety without sacrificing task efficiency under decentralized decision-making. Existing decentralized methods often assu…

cs.RO2026

Multimodal Belief-Space Covariance Steering with Active Probing and Influence for Interactive Driving

Devodita Chakravarty, John Dolan, Yiwei Lyu

Autonomous driving in complex traffic requires reasoning under uncertainty. Common approaches rely on prediction-based planning or risk-aware control, but these are typically treat…

cs.RO2026

Feasibility Restoration under Conflicting STL Specifications with Pareto-Optimal Refinement

Tianhao Wu, Yiwei Lyu

Signal Temporal Logic (STL) is expressive formal language that specifies spatio-temporal requirements in robotics. Its quantitative robustness semantics can be easily integrated wi…

cs.RO2026

Gaussian Mixture-Based Inverse Perception Contract for Uncertainty-Aware Robot Navigation

Bingyao Du, Joonkyung Kim, Yiwei Lyu

Reliable navigation in cluttered environments requires perception outputs that are not only accurate but also equipped with uncertainty sets suitable for safe control. An inverse p…