Published in NeurIPS 2025 (Spotlight), 2025
Previous dominant methods for scene flow estimation focus mainly on input from two consecutive frames, neglecting valuable information in the … Read more
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Zhang, Q., Zhu, X., Zhang, Y., Cai, Y., Andersson, O., & Jensfelt, P. (2025). DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method. in NeurIPS 2025 (Spotlight) . [pdf] [bib]
Published in Transactions on Mechatronics (T-Mech), 2025
This survey offers a comprehensive overview of recent advancements in LiDAR-based autonomous uncrewed aerial vehicles (UAVs), covering their design, … Read more
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Ren, Y., Cai, Y., Li, H., Chen, N., Zhu, F., Yin, L., ... & Zhang, F. (2025). A Survey on LiDAR-Based Autonomous Aerial Vehicles. IEEE/ASME Transactions on Mechatronics. [pdf] [bib]
Published in Transactions on Robotics (T-RO), 2025
Mobile robots have revolutionized various fields, offering solutions for manipulation, environmental monitoring, and exploration. However, payload … Read more
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Li, S., Bai, S., Jia, R., Cai, Y., Ding, R., Shi, Y., ... & Chirarattananon, P. (2025). A High-Payload Robotic Hopper Powered by Bidirectional Thrusters. IEEE Transactions on Robotics. [pdf] [bib]
Published in Nature Communications, 2025
Landslides pose significant threats to residents’ safety and daily lives. To mitigate such risks, flexible debris-resisting barriers are constructed … Read more
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Liu, W., Ren, Y., Guo, R., Kong, V. W., Hung, A. S., Zhu, F., ... & Zhang, F. (2025). Slope inspection under dense vegetation using LiDAR-based quadrotors. Nature Communications. [pdf] [bib]
Published in International Conference on Computer Vision (ICCV 2025), 2025
Moving object segmentation (MOS) on LiDAR point clouds is crucial for autonomous systems like self-driving vehicles. Previous supervised approaches … Read more
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Miao, Z., Chen, R., Cai, Y., He, B., Zhao, W., Shao, W., ... & Zhang, F. (2025). Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation. in ICCV 2025. [pdf] [bib]
Published in International Conference on Intelligent Robots and Systems (IROS 2025), 2025
Navigating an arbitrary-shaped ground robot safely in cluttered environments remains a challenging problem. The existing trajectory planners that … Read more
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Li, Y., Yin, L., Cai, Y., Liu, J., Li, H., & Zhang, F. (2025). Efficient Swept Volume-Based Trajectory Generation for Arbitrary-Shaped Ground Robot Navigation. in International Conference on Intelligent Robots and Systems (IROS 2025). [pdf] [bib]
Published in Robotics and Automation Letters (RA-L), 2025
This paper presents a lightweight LiDAR-inertial-visual odometry system optimized for resource-constrained platforms. It integrates a … Read more
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Zhou, B., Zheng, C., Wang, Z., Zhu, F., Cai, Y., & Zhang, F. (2025). FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation. IEEE Robotics and Automation Letters. [pdf] [bib]
Published in Robotics: Science and Systems (RSS) 2025, 2025
This research tackles the challenge of real-time active view selection and uncertainty quantification on visual quality for active 3D reconstruction. … Read more
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Xie, Y., Cai, Y., Zhang, Y., Yang, L. & Pan, J. (2025) GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction. in Robotics: Science and Systems (RSS) 2025. [pdf] [bib]
Published in Science Robotics, 2025
Micro air vehicles (MAVs) capable of high-speed autonomous navigation in unknown environments have the potential to improve applications like search … Read more
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Ren, Y., Zhu, F., Lu, G., Cai, Y., Yin, L., Kong, F., Lin, J., Chen, N. & Zhang, F. (2025) Safety-assured high-speed navigation for MAVs. in Science Robotics. [pdf] [bib]
Published in 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025
This paper presents a unified surface reconstruction and rendering framework for LiDAR-visual systems, integrating Neural Radiance Fields (NeRF) and … Read more
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Liu, J., Zheng, C., Wan, Y., Wang, B., Cai, Y., & Zhang, F. Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems. in 2025 IEEE International Conference on Robotics and Automation (ICRA) [pdf] [bib]
Published in 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025
Point cloud maps with accurate color are crucial in robotics and mapping applications. Existing approaches for producing RGB-colorized maps are … Read more
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Li, R., Liu, X., Li, H., Liu, Z., Lin, J., Cai, Y., & Zhang, F. (2025). LVBA: LiDAR-Visual Bundle Adjustment for RGB Point Cloud Mapping.in 2025 IEEE International Conference on Robotics and Automation (ICRA) [pdf] [bib]
Published in IEEE Transactions on Robotics (TRO), 2024
Trajectory generation for fully autonomous flights of tail-sitter unmanned aerial vehicles (UAVs) presents substantial challenges due to their highly … Read more
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Lu, G., Ren, Y., Zhu, F., Li, H., Xue, R., Cai, Y., ... & Zhang, F. (2024). Autonomous Tail-Sitter Flights in Unknown Environments. in IEEE Transactions on Robotics. [pdf] [bib]
Published in IEEE Transactions on Robotics (TRO), 2024
Aerial swarm systems possess immense potential in various aspects, such as cooperative exploration, target tracking, search and rescue. Efficient, … Read more
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Zhu, F., Ren, Y., Yin, L., Kong, F., Liu, Q., Xue, R., Liu, W., Cai, Y., Lu, G., Li, H. & Zhang, F. (2024). Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms. in IEEE Transactions on Robotics. [pdf] [bib]
Published in IEEE Robotics and Automation Letters (RAL), 2024
This paper introduces LAMM, an open-source framework for large-scale multi-session 3D LiDAR point cloud map merging. LAMM can automatically integrate … Read more
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Wei, H., Li, R., Cai, Y., Yuan, C., Ren, Y., Zou, Z., Wu, H., Zheng, C., Zhou, S., Xue, K., Zhang, F. (2023) "Large-scale Multi-session Point-cloud Map Merging," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3504317 [pdf] [bib]
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), 2024
Recent advances in LiDAR technology have opened up new possibilities for robotic navigation. Given the widespread use of occupancy grid maps (OGMs) … Read more
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Ren, Y., Cai, Y., Zhu, F., Liang, S., & Zhang, F. (2023). ROG-map: An efficient robocentric occupancy grid map for large-scene and high-resolution LiDAR-based motion planning. In 2024, International Conference on Intelligent Robots and Systems (IROS). IEEE. [pdf] [bib]
Published in International Journal of Robotics Research, 2023
In recent years, advancements in Light Detection and Ranging (LiDAR) technology have made 3D LiDAR sensors more compact, lightweight, and affordable. … Read more
Recommended citation:
Haotian Li and Yuying Zou and Nan Chen and Jiarong Lin and Xiyuan Liu and Wei Xu and Chunran Zheng and Rundong Li and Dongjiao He and Fanze Kong and Yixi Cai and Zheng Liu and Shunbo Zhou and Kaiwen Xue and Fu Zhang.(2024). MARS-LVIG dataset: A multi-sensor aerial robots SLAM dataset for LiDAR-visual-inertial-GNSS fusion. The International Journal of Robotics Research. [pdf] [bib]
Published in IEEE Transactions on Robotics (TRO), 2023
Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article … Read more
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Y. Cai, F. Kong, Y. Ren, F. Zhu, J. Lin and F. Zhang, "Occupancy Grid Mapping Without Ray-Casting for High-Resolution LiDAR Sensors," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2023.3323936. [pdf] [bib]
Published in International Journal of Robotics Research, 2023
We address the theoretical and practical problems related to the trajectory generation and tracking control of tail-sitter UAVs. Theoretically, we … Read more
Recommended citation:
Lu, G., Cai, Y., Chen, N., Kong, F., Ren, Y., & Zhang, F. (2022). Trajectory Generation and Tracking Control for Aggressive Tail-Sitter Flights. arXiv preprint arXiv:2212.11552. [pdf] [bib]
Published in IEEE Transactions on Robotics (TRO), 2023
In this paper, we propose a novel LiDAR(-inertial) odometry and mapping framework to achieve the goal of simultaneous localization and meshing in … Read more
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Lin, J., Yuan, C., Cai, Y., Li, H., Zou, Y., Hong, X., & Zhang, F. (2023). Immesh: An immediate lidar localization and meshing framework. arXiv preprint arXiv:2301.05206. [pdf] [bib]
Published in IEEE Robotics and Automation Letters (RAL), 2023
The emergence of LiDAR sensors have brought new opportunities for autonomous unmanned aerial vehicles (UAVs) by advancing navigation safety and … Read more
Recommended citation:
Kong, F., Liu, X., Tang, B., Lin, J., Ren, Y., Cai, Y., ... & Zhang, F. (2023). MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs. IEEE Robotics and Automation Letters, 8(5), 2954-2961. [pdf] [bib]
Published in Science Robotics, 2023
Uncrewed aerial vehicles (UAVs) rely heavily on visual sensors to perceive obstacles and explore environments. Current UAVs are limited in both … Read more
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Chen, N., Kong, F., Xu, W., Cai, Y., Li, H., He, D., ... & Zhang, F. (2023). A self-rotating, single-actuated UAV with extended sensor field of view for autonomous navigation. Science Robotics, 8(76), eade4538. [pdf] [bib]
Published in IEEE/ASME Transactions on Mechatronics (TMECH), 2022
Unmanned aerial vehicles (UAV) are widely used in the field for tasks that require 3-D movements in space. The simultaneous demand for heavy payload … Read more
Recommended citation:
Y. Qin, N. Chen, Y. Cai, W. Xu and F. Zhang, Gemini II: Design, Modeling, and Control of a Compact Yet Efficient Servoless Bi-copter," in IEEE/ASME Transactions on Mechatronics, vol. 27, no. 6, pp. 4304-4315, Dec. 2022, doi: 10.1109/TMECH.2022.3153587." [pdf] [bib]
Published in IEEE Transactions on Robotics (TRO), 2022
This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry framework. Building on a highly efficient tightly coupled … Read more
Recommended citation:
W. Xu, Y. Cai, D. He, J. Lin and F. Zhang, "FAST-LIO2: Fast Direct LiDAR-Inertial Odometry," in IEEE Transactions on Robotics, vol. 38, no. 4, pp. 2053-2073, Aug. 2022, doi: 10.1109/TRO.2022.3141876. [pdf] [bib]
Published in IEEE Transactions on Control Systems Technology (TCST), 2022
This article presents a generic motion model to capture mobile robots' dynamic behaviors (translation and rotation). The model is based on … Read more
Recommended citation:
W. Xu, D. He, Y. Cai and F. Zhang, Robots' State Estimation and Observability Analysis Based on Statistical Motion Models," in IEEE Transactions on Control Systems Technology, vol. 30, no. 5, pp. 2030-2045, Sept. 2022, doi: 10.1109/TCST.2021.3133080." [pdf] [bib]
Published in IEEE Robotics and Automation Letters (RAL), 2021
In practical applications, autonomous quadrotors are still facing significant challenges, such as the detection and avoidance of very small and even … Read more
Recommended citation:
F. Kong, W. Xu, Y. Cai and F. Zhang, Avoiding Dynamic Small Obstacles With Onboard Sensing and Computation on Aerial Robots," in IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 7869-7876, Oct. 2021, doi: 10.1109/LRA.2021.3101877." [pdf] [bib]
Published in Preprint, 2021
This paper proposes an efficient data structure, ikd-Tree, for dynamic space partition. The ikd-Tree incrementally updates a k-d tree with new coming … Read more
Recommended citation:
Cai, Y., Xu, W., & Zhang, F. (2021). ikd-tree: An incremental kd tree for robotic applications. arXiv preprint arXiv:2102.10808. [pdf] [bib]