Jingxing Qian

17 papers A* 3Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Perceptive Hierarchical-Task MPC for Sequential Mobile Manipulation in Unstructured Semi-Static Environments.
CoRR
Xintong Du, Jingxing Qian, Siqi Zhou, Angela P. Schoellig
2026 J jnl
Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments.
IEEE Robotics Autom. Lett.
Benjamin Bogenberger, Oliver Harrison, Orrin Dahanaggamaarachchi, Lukas Brunke, Jingxing Qian, Siqi Zhou, Angela P. Schoellig
2025 J jnl
Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments.
CoRR
Benjamin Bogenberger, Oliver Harrison, Orrin Dahanaggamaarachchi, Lukas Brunke, Jingxing Qian, Siqi Zhou, Angela P. Schoellig
2024 A* conf
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments.
ICRA
Jingxing Qian, Siqi Zhou, Nicholas Jianrui Ren, Veronica Chatrath, Angela P. Schoellig
2024 J jnl
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments.
CoRR
Jingxing Qian, Siqi Zhou, Nicholas Jianrui Ren, Veronica Chatrath, Angela P. Schoellig
2024 A* conf
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors.
ICRA
Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander
2023 J jnl
Boreas: A multi-season autonomous driving dataset.
Int. J. Robotics Res.
Keenan Burnett, David J. Yoon, Yuchen Wu, Andrew Zou Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Yu Kit Leung, Angela P. Schoellig, Timothy D. Barfoot
2023 — conf
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments.
Robotics: Science and Systems
Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig
2023 J jnl
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments.
CoRR
Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig
2023 J jnl
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors.
CoRR
Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven L. Waslander
2022 J jnl
Boreas: A Multi-Season Autonomous Driving Dataset.
CoRR
Keenan Burnett, David J. Yoon, Yuchen Wu, Andrew Zou Li, Haowei Zhang, Shichen Lu, Jingxing Qian, Wei-Kang Tseng, Andrew Lambert, Keith Yu Kit Leung, Angela P. Schoellig, Timothy D. Barfoot
2022 — conf
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
Robotics: Science and Systems
Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander
2022 J jnl
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
CoRR
Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander
2021 J jnl
Zeus: A system description of the two-time winner of the collegiate SAE autodrive competition.
J. Field Robotics
Keenan Burnett, Jingxing Qian, Xintong Du, Linqiao Liu, David J. Yoon, Tianchang Shen, Susan Sun, Sepehr Samavi, Michael J. Sorocky, Mollie Bianchi, Kaicheng Zhang, Arkady Arkhangorodsky, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot
2020 J jnl
Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition.
CoRR
Keenan Burnett, Jingxing Qian, Xintong Du, Linqiao Liu, David J. Yoon, Tianchang Shen, Susan Sun, Sepehr Samavi, Michael J. Sorocky, Mollie Bianchi, Kaicheng Zhang, Arkady Arkhangorodsky, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot
2017 A* conf
Deep neural networks for improved, impromptu trajectory tracking of quadrotors.
ICRA
Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig
2016 J jnl
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors.
CoRR
Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig