7 citations · 17 across the 22 of their papers we have counts for
24 papers
Learning to Throw: Agile and Accurate Cable-Suspended Payload Delivery with a Quadrotor
Yifan Zhai, Elia Raimondi, Yunfan Ren +4
Quadrotors offer the agility needed to rapidly transport suspended payloads during time-critical applications, including search-and-rescue and medical delivery. While suspended-pay…
Continual Robot Policy Learning via Variational Neural Dynamics
Jiaxu Xing, Zhiyuan Zhu, Yunfan Ren +4
Robots deployed in the real world rarely operate under a single fixed dynamics model: wind changes, payloads vary, batteries drain, contacts shift, and hardware wears. Yet most lea…
MAD: Mapping-Aware World Models for Agile Quadrotor Flight
Xinhong Zhang, Runqing Wang, Yunfan Ren +6
Agile quadrotor flight in cluttered scenes requires more than a reactive mapping from a depth image to a control command: the vehicle must remember which regions have been observed…
Memory-Efficient Boundary Map for Large-Scale Occupancy Grid Mapping
Benxu Tang, Yunfan Ren, Yixi Cai +6
Determining the occupancy status of locations in the environment is a fundamental task for safety-critical robotic applications. Traditional occupancy grid mapping methods subdivid…
Learning Agile Quadrotor Flight in the Real World
Yunfan Ren, Zhiyuan Zhu, Jiaxu Xing +1
Learning-based controllers have achieved impressive performance in agile quadrotor flight but typically rely on massive training in simulation, necessitating accurate system identi…
Visibility-Aware Cooperative Tracking with Decentralized LiDAR-Based Aerial Swarms
Longji Yin, Yunfan Ren, Fangcheng Zhu +6
Autonomous aerial tracking with drones offers vast potential for surveillance, cinematography, and industrial inspection applications. While single-drone tracking systems have been…
A Survey on LiDAR-based Autonomous Aerial Vehicles
Yunfan Ren, Yixi Cai, Haotian Li +6
This survey offers a comprehensive overview of recent advancements in LiDAR-based autonomous Unmanned Aerial Vehicles (UAVs), covering their design, perception, planning, and contr…
DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning
Xinhong Zhang, Runqing Wang, Yunfan Ren +4
This letter introduces DiffAero, a lightweight, GPU-accelerated, and fully differentiable simulation framework designed for efficient quadrotor control policy learning. DiffAero su…
Flying through cluttered and dynamic environments with LiDAR
Huajie Wu, Wenyi Liu, Yunfan Ren +5
Navigating unmanned aerial vehicles (UAVs) through cluttered and dynamic environments remains a significant challenge, particularly when dealing with fast-moving or sudden-appearin…
Autonomous Tail-Sitter Flights in Unknown Environments
Guozheng Lu, Yunfan Ren, Fangcheng Zhu +5
Trajectory generation for fully autonomous flights of tail-sitter unmanned aerial vehicles (UAVs) presents substantial challenges due to their highly nonlinear aerodynamics. In thi…
Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms
Fangcheng Zhu, Yunfan Ren, Longji Yin +8
Aerial swarm systems possess immense potential in various aspects, such as cooperative exploration, target tracking, search and rescue. Efficient, accurate self and mutual state es…
LiDAR-based Quadrotor for Slope Inspection in Dense Vegetation
Wenyi Liu, Yunfan Ren, Rui Guo +6
This work presents a LiDAR-based quadrotor system for slope inspection in dense vegetation environments. Cities like Hong Kong are vulnerable to climate hazards, which often result…
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Chunran Zheng, Wei Xu, Zuhao Zou +11
This paper proposes FAST-LIVO2: a fast, direct LiDAR-inertial-visual odometry framework to achieve accurate and robust state estimation in SLAM tasks and provide great potential in…
Perch a quadrotor on planes by the ceiling effect
Yuying Zou, Haotian Li, Yunfan Ren +5
Perching is a promising solution for a small unmanned aerial vehicle (UAV) to save energy and extend operation time. This paper proposes a quadrotor that can perch on planar struct…
Occupancy Grid Mapping without Ray-Casting for High-resolution LiDAR Sensors
Yixi Cai, Fanze Kong, Yunfan Ren +3
Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mappi…
Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments using Occlusion-Free Spheres
Benxu Tang, Yunfan Ren, Fangcheng Zhu +4
Autonomous exploration is a crucial aspect of robotics that has numerous applications. Most of the existing methods greedily choose goals that maximize immediate reward. This strat…
ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning
Yunfan Ren, Yixi Cai, Fangcheng Zhu +2
Recent advances in LiDAR technology have opened up new possibilities for robotic navigation. Given the widespread use of occupancy grid maps (OGMs) in robotic motion planning, this…
ImMesh: An Immediate LiDAR Localization and Meshing Framework
Jiarong Lin, Chongjiang Yuan, Yixi Cai +5
In this paper, we propose a novel LiDAR(-inertial) odometry and mapping framework to achieve the goal of simultaneous localization and meshing in real-time. This proposed framework…
Trajectory Generation and Tracking Control for Aggressive Tail-Sitter Flights
Guozheng Lu, Yixi Cai, Nan Chen +3
We address the theoretical and practical problems related to the trajectory generation and tracking control of tail-sitter UAVs. Theoretically, we focus on the differential flatnes…
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
Fanze Kong, Xiyuan Liu, Benxu Tang +6
The emergence of low-cost, small form factor and light-weight solid-state LiDAR sensors have brought new opportunities for autonomous unmanned aerial vehicles (UAVs) by advancing n…
Online Whole-body Motion Planning for Quadrotor using Multi-resolution Search
Yunfan Ren, Siqi Liang, Fangcheng Zhu +2
In this paper, we address the problem of online quadrotor whole-body motion planning (SE(3) planning) in unknown and unstructured environments. We propose a novel multi-resolution…
Swarm-LIO: Decentralized Swarm LiDAR-inertial Odometry
Fangcheng Zhu, Yunfan Ren, Fanze Kong +5
Accurate self and relative state estimation are the critical preconditions for completing swarm tasks, e.g., collaborative autonomous exploration, target tracking, search and rescu…
Bubble Planner: Planning High-speed Smooth Quadrotor Trajectories using Receding Corridors
Yunfan Ren, Fangcheng Zhu, Wenyi Liu +4
Quadrotors are agile platforms. With human experts, they can perform extremely high-speed flights in cluttered environments. However, fully autonomous flight at high speed remains…
Robust Real-time LiDAR-inertial Initialization
Fangcheng Zhu, Yunfan Ren, Fu Zhang
For most LiDAR-inertial odometry, accurate initial states, including temporal offset and extrinsic transformation between LiDAR and 6-axis IMUs, play a significant role and are oft…