activity
20212026
most citedRough-Terrain Locomotion and Unilateral Contact Force Regulations With a Multi-Modal Legged Robot

2 citations · 2 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Belief Space Planning for Risk Signal Temporal Logic via Mixed-Integer Convex Programming

Shaohang Han, Joris Verhagen, Kaier Liang +1

Signal Temporal Logic (STL) specifies robot tasks with spatio-temporal requirements, and its robustness semantics allow planning by trajectory optimization. In practice, robots est…

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.RO2025

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…

cs.LG2024

Learning Optimal Signal Temporal Logic Decision Trees for Classification: A Max-Flow MILP Formulation

Kaier Liang, Gustavo A. Cardona, Disha Kamale +1

This paper presents a novel framework for inferring timed temporal logic properties from data. The dataset comprises pairs of finite-time system traces and corresponding labels, de…

cs.FL2024

Distributed Fair Assignment and Rebalancing for Mobility-on-Demand Systems via an Auction-based Method

Kaier Liang, Cristian-Ioan Vasile

In this paper, we consider fair assignment of complex requests for Mobility-On-Demand systems. We model the transportation requests as temporal logic formulas that must be satisfie…

eess.SY2023

Control Barrier Function for Linearizable Systems with High Relative Degrees from Signal Temporal Logics: A Reference Governor Approach

Kaier Liang, Mingyu Cai, Cristian-Ioan Vasile

This paper considers the safety-critical navigation problem with Signal Temporal Logic (STL) tasks. We developed an explicit reference governor-guided control barrier function (ERG…

cs.FL2022

Fair Planning for Mobility-on-Demand with Temporal Logic Requests

Kaier Liang, Cristian-Ioan Vasile

Mobility-on-demand systems are transforming the way we think about the transportation of people and goods. Most research effort has been placed on scalability issues for systems wi…

cs.RO2021★ 2 cited

Rough-Terrain Locomotion and Unilateral Contact Force Regulations With a Multi-Modal Legged Robot

Kaier Liang, Eric Sihite, Pravin Dangol +2

Despite many accomplishments by legged robot designers, state-of-the-art bipedal robots are prone to falling over, cannot negotiate extremely rough terrains and cannot directly reg…