155 citations · 307 across the 14 of their papers we have counts for
15 papers
Vision-aided UAV navigation and dynamic obstacle avoidance using gradient-based B-spline trajectory optimization
Zhefan Xu, Yumeng Xiu, Xiaoyang Zhan +2
Navigating dynamic environments requires the robot to generate collision-free trajectories and actively avoid moving obstacles. Most previous works designed path planning algorithm…
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles
Zhefan Xu, Di Deng, Yiping Dong +1
Safe UAV navigation is challenging due to the complex environment structures, dynamic obstacles, and uncertainties from measurement noises and unpredictable moving obstacle behavio…
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization
Yuyang Wang, Kenji Shimada, Amir Barati Farimani
The current design of aerodynamic shapes, like airfoils, involves computationally intensive simulations to explore the possible design space. Usually, such design relies on the pri…
Robotic Exploration of Unknown 2D Environment Using a Frontier-based Automatic-Differentiable Information Gain Measure
Di Deng, Runlin Duan, Jiahong Liu +2
At the heart of path-planning methods for autonomous robotic exploration is a heuristic which encourages exploring unknown regions of the environment. Such heuristics are typically…
Frontier-based Automatic-differentiable Information Gain Measure for Robotic Exploration of Unknown 3D Environments
Di Deng, Zhefan Xu, Wenbo Zhao +1
The path planning problem for autonomous exploration of an unknown region by a robotic agent typically employs frontier-based or information-theoretic heuristics. Frontier-based he…
Coordinated Aerial-Ground Robot Exploration via Monte-Carlo View Quality Rendering
Di Deng, Zhefan Xu, Wenbo Zhao +1
We present a framework for a ground-aerial robotic team to explore large, unstructured, and unknown environments. In such exploration problems, the effectiveness of existing explor…