collaborators

6 papers

cs.RO2026

ViTL: Temporal Logic-Guided Zero-Shot Natural Language Navigation via Vision-Language Models

Kaier Liang, Hengde Dai, Cristian-Ioan Vasile

Enabling robots to follow natural language commands to complete zero-shot long-horizon tasks remains challenging. It requires extracting implicit temporal and logical constraints f…

cs.RO2026

Differentiable SpaTiaL: Symbolic Learning and Reasoning with Geometric Temporal Logic for Manipulation Tasks

Licheng Luo, Kaier Liang, Cristian-Ioan Vasile +1

Executing complex manipulation in cluttered environments requires satisfying coupled geometric and temporal constraints. Although Spatio-Temporal Logic (SpaTiaL) offers a principle…

cs.RO2026

NL2SpaTiaL: Generating Geometric Spatio-Temporal Logic Specifications from Natural Language for Manipulation Tasks

Licheng Luo, Kaier Liang, Yu Xia +1

While Temporal Logic provides a rigorous verification framework for robotics, it typically operates on trajectory-level signals and does not natively represent the object-centric g…

cs.RO2025

Time-aware Motion Planning in Dynamic Environments with Conformal Prediction

Kaier Liang, Licheng Luo, Yixuan Wang +2

Safe navigation in dynamic environments remains challenging due to uncertain obstacle behaviors and the lack of formal prediction guarantees. We propose two motion planning framewo…

cs.RO2025

An Iterative Approach for Heterogeneous Multi-Agent Route Planning with Resource Transportation Uncertainty and Temporal Logic Goals

Gustavo A. Cardona, Kaier Liang, Cristian-Ioan Vasile

This paper presents an iterative approach for heterogeneous multi-agent route planning in environments with unknown resource distributions. We focus on a team of robots with divers…

cs.RO2025

Safe Navigation in Dynamic Environments Using Data-Driven Koopman Operators and Conformal Prediction

Kaier Liang, Guang Yang, Mingyu Cai +1

We propose a novel framework for safe navigation in dynamic environments by integrating Koopman operator theory with conformal prediction. Our approach leverages data-driven Koopma…