46 citations · 73 across the 19 of their papers we have counts for
20 papers
Precise Aggressive Aerial Maneuvers with Sensorimotor Policies
Tianyue Wu, Guangtong Xu, Zihan Wang +6
Precise aggressive maneuvers with lightweight onboard sensors remains a key bottleneck in fully exploiting the maneuverability of drones. Such maneuvers are critical for expanding…
High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning
Jiarui Zhang, Chengyong Lei, Chengjiang Dai +4
Quadrotor unmanned aerial vehicles (UAVs) are increasingly deployed in complex missions that demand reliable autonomous navigation and robust obstacle avoidance. However, tradition…
Flying in Clutter on Monocular RGB by Learning in 3D Radiance Fields with Domain Adaptation
Xijie Huang, Jinhan Li, Tianyue Wu +3
Modern autonomous navigation systems predominantly rely on lidar and depth cameras. However, a fundamental question remains: Can flying robots navigate in clutter using solely mono…
VLA-AN: An Efficient and Onboard Vision-Language-Action Framework for Aerial Navigation in Complex Environments
Yuze Wu, Mo Zhu, Xingxing Li +6
This paper proposes VLA-AN, an efficient and onboard Vision-Language-Action (VLA) framework dedicated to autonomous drone navigation in complex environments. VLA-AN addresses four…
Reactive Aerobatic Flight via Reinforcement Learning
Zhichao Han, Xijie Huang, Zhuxiu Xu +5
Quadrotors have demonstrated remarkable versatility, yet their full aerobatic potential remains largely untapped due to inherent underactuation and the complexity of aggressive man…
Shape-Adaptive Planning and Control for a Deformable Quadrotor
Yuze Wu, Zhichao Han, Xuankang Wu +4
Drones have become essential in various applications, but conventional quadrotors face limitations in confined spaces and complex tasks. Deformable drones, which can adapt their sh…
SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain
Xiaoying Li, Long Xu, Xiaolin Huang +6
Autonomous navigation of car-like robots on uneven terrain poses unique challenges compared to flat terrain, particularly in traversability assessment and terrain-associated kinema…
FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations
Junxiao Lin, Shuhang Ji, Yuze Wu +3
How to endow aerial robots with the ability to operate in close proximity remains an open problem. The core challenges lie in the propulsion system's dual-task requirement: generat…
Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments
Long Xu, Kaixin Chai, Boyuan An +11
The tractor-trailer robot consists of a drivable tractor and one or more non-drivable trailers connected via hitches. Compared to typical car-like robots, the addition of trailers…
Universal Trajectory Optimization Framework for Differential Drive Robot Class
Mengke Zhang, Nanhe Chen, Hu Wang +6
Differential drive robots are widely used in various scenarios thanks to their straightforward principle, from household service robots to disaster response field robots. There are…
Learning to Plan Maneuverable and Agile Flight Trajectory with Optimization Embedded Networks
Zhichao Han, Long Xu, Liuao Pei +1
In recent times, an increasing number of researchers have been devoted to utilizing deep neural networks for end-to-end flight navigation. This approach has gained traction due to…
Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex Regions of Obstacle-Free Space
Qianhao Wang, Zhepei Wang, Mingyang Wang +7
Convex polytopes have compact representations and exhibit convexity, which makes them suitable for abstracting obstacle-free spaces from various environments. Existing generation m…
Collaborative Planning for Catching and Transporting Objects in Unstructured Environments
Liuao Pei, Junxiao Lin, Zhichao Han +4
Multi-robot teams have attracted attention from industry and academia for their ability to perform collaborative tasks in unstructured environments, such as wilderness rescue and c…
An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain
Long Xu, Kaixin Chai, Zhichao Han +4
Autonomous navigation of ground robots on uneven terrain is being considered in more and more tasks. However, uneven terrain will bring two problems to motion planning: how to asse…
Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments
Changjia Ma, Zhichao Han, Tingrui Zhang +5
Robot swarm is a hot spot in robotic research community. In this paper, we propose a decentralized framework for car-like robotic swarm which is capable of real-time planning in cl…
An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments
Zhichao Han, Yuwei Wu, Tong Li +8
As a core part of autonomous driving systems, motion planning has received extensive attention from academia and industry. However, real-time trajectory planning capable of spatial…
Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
Zhichao Han, Zhepei Wang, Neng Pan +3
With the autonomy of aerial robots advances in recent years, autonomous drone racing has drawn increasing attention. In a professional pilot competition, a skilled operator always…
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Susie Xi Rao, Shuai Zhang, Zhichao Han +6
Massive account registration has raised concerns on risk management in e-commerce companies, especially when registration increases rapidly within a short time frame. To monitor th…
Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments
Zhichao Han, Ruibin Zhang, Neng Pan +2
This paper proposes a systematic solution that uses an unmanned aerial vehicle (UAV) to aggressively and safely track an agile target. The solution properly handles the challenging…
xFraud: Explainable Fraud Transaction Detection
Susie Xi Rao, Shuai Zhang, Zhichao Han +6
At online retail platforms, it is crucial to actively detect the risks of transactions to improve customer experience and minimize financial loss. In this work, we propose xFraud,…