Tracking Property of UMDA in Dynamic Environment by Landscape Framework. - Ran Long; Liangqi Gong; Bo Yuan; Ping Ao; Qing-Sheng Ren (ICONIP (3), 2012)

RigidFusion: Robot Localisation and Mapping in Environments With Large Dynamic Rigid Objects. - Ran Long; Christian Rauch 002; Tianwei Zhang 002; Vladimir Ivan; Sethu Vijayakumar (IEEE Robotics Autom. Lett., 2021)

RGB-D SLAM in Indoor Planar Environments With Multiple Large Dynamic Objects. - Ran Long; Christian Rauch 002; Tianwei Zhang 002; Vladimir Ivan; Tin Lun Lam; Sethu Vijayakumar (IEEE Robotics Autom. Lett., 2022)

Sparse-Dense Motion Modelling and Tracking for Manipulation Without Prior Object Models. - Christian Rauch 002; Ran Long; Vladimir Ivan; Sethu Vijayakumar (IEEE Robotics Autom. Lett., 2022)

RGB-D-Inertial SLAM in Indoor Dynamic Environments with Long-term Large Occlusion. - Ran Long; Christian Rauch 002; Vladimir Ivan; Tin Lun Lam; Sethu Vijayakumar (CoRR, 2023)

Enabling robots to follow abstract instructions and complete complex dynamic tasks. - Ruaridh Mon-Williams; Gen Li 008; Ran Long; Wenqian Du 004; Chris Lucas 001 (CoRR, 2024)

An Efficient Representation of Whole-body Model Predictive Control for Online Compliant Dual-arm Mobile Manipulation. - Wenqian Du 004; Ran Long; João Moura 003; Jiayi Wang; Saeid Samadi; Sethu Vijayakumar (CoRR, 2024)

Embodied large language models enable robots to complete complex tasks in unpredictable environments. - Ruaridh Mon-Williams; Gen Li 008; Ran Long; Wenqian Du 001; Christopher G. Lucas (Nat. Mac. Intell., 2025)