7 citations · 14 across the 9 of their papers we have counts for
9 papers
Perceptive Hierarchical-Task MPC for Sequential Mobile Manipulation in Unstructured Semi-Static Environments
Xintong Du, Jingxing Qian, Siqi Zhou +1
As compared to typical mobile manipulation tasks, sequential mobile manipulation poses a unique challenge -- as the robot operates over extended periods, successful task completion…
Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments
Benjamin Bogenberger, Oliver Harrison, Orrin Dahanaggamaarachchi +4
Robots deployed in real-world environments, such as homes, must not only navigate safely but also understand their surroundings and adapt to changes in the environment. To perform…
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments
Jingxing Qian, Siqi Zhou, Nicholas Jianrui Ren +2
Autonomous robots navigating in changing environments demand adaptive navigation strategies for safe long-term operation. While many modern control paradigms offer theoretical guar…
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors
Ziwei Liao, Jun Yang, Jingxing Qian +2
3D object-level mapping is a fundamental problem in robotics, which is especially challenging when object CAD models are unavailable during inference. In this work, we propose a fr…
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments
Jingxing Qian, Veronica Chatrath, James Servos +4
Simultaneous localization and mapping (SLAM) in slowly varying scenes is important for long-term robot task completion. Failing to detect scene changes may lead to inaccurate maps…
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes
Jingxing Qian, Veronica Chatrath, Jun Yang +3
Maintaining an up-to-date map to reflect recent changes in the scene is very important, particularly in situations involving repeated traversals by a robot operating in an environm…
Boreas: A Multi-Season Autonomous Driving Dataset
Keenan Burnett, David J. Yoon, Yuchen Wu +9
The Boreas dataset was collected by driving a repeated route over the course of one year, resulting in stark seasonal variations and adverse weather conditions such as rain and fal…
Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition
Keenan Burnett, Jingxing Qian, Xintong Du +14
The SAE AutoDrive Challenge is a three-year collegiate competition to develop a self-driving car by 2020. The second year of the competition was held in June 2019 at MCity, a mock…
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors
Qiyang Li, Jingxing Qian, Zining Zhu +3
Trajectory tracking control for quadrotors is important for applications ranging from surveying and inspection, to film making. However, designing and tuning classical controllers,…