51 citations · 117 across the 21 of their papers we have counts for
22 papers
IGV-RRT: Prior-Real-Time Observation Fusion for Active Object Search in Changing Environments
Wei Zhang, Ping Gong, Yujie Wang +7
Object Goal Navigation (ObjectNav) in temporally changing indoor environments is challenging because object relocation can invalidate historical scene knowledge. To address this is…
Just in time Informed Trees: Manipulability-Aware Asymptotically Optimized Motion Planning
Kuanqi Cai, Liding Zhang, Xinwen Su +6
In high-dimensional robotic path planning, traditional sampling-based methods often struggle to efficiently identify both feasible and optimal paths in complex, multi-obstacle envi…
Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler
Liding Zhang, Kuanqi Cai, Yu Zhang +5
Path planning in robotics often involves solving continuously valued, high-dimensional problems. Popular informed approaches include graph-based searches, such as A*, and sampling-…
Genetic Informed Trees (GIT*): Path Planning via Reinforced Genetic Programming Heuristics
Liding Zhang, Kuanqi Cai, Zhenshan Bing +2
Optimal path planning involves finding a feasible state sequence between a start and a goal that optimizes an objective. This process relies on heuristic functions to guide the sea…
APT*: Asymptotically Optimal Motion Planning via Adaptively Prolated Elliptical R-Nearest Neighbors
Liding Zhang, Sicheng Wang, Kuanqi Cai +5
Optimal path planning aims to determine a sequence of states from a start to a goal while accounting for planning objectives. Popular methods often integrate fixed batch sizes and…
Capsizing-Guided Trajectory Optimization for Autonomous Navigation with Rough Terrain
Wei Zhang, Yinchuan Wang, Wangtao Lu +4
It is a challenging task for ground robots to autonomously navigate in harsh environments due to the presence of non-trivial obstacles and uneven terrain. This requires trajectory…
Embodied Perception for Test-time Grasping Detection Adaptation with Knowledge Infusion
Jin Liu, Jialong Xie, Leibing Xiao +2
It has always been expected that a robot can be easily deployed to unknown scenarios, accomplishing robotic grasping tasks without human intervention. Nevertheless, existing grasp…
ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle
Yinchuan Wang, Bin Ren, Xiang Zhang +5
LiDAR-based SLAM is recognized as one effective method to offer localization guidance in rough environments. However, off-the-shelf LiDAR-based SLAM methods suffer from significant…
Motion Planning for Robotics: A Review for Sampling-based Planners
Liding Zhang, Kuanqi Cai, Zewei Sun +5
Recent advancements in robotics have transformed industries such as manufacturing, logistics, surgery, and planetary exploration. A key challenge is developing efficient motion pla…
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps
Haiming Gao, Qibo Qiu, Hongyan Liu +3
This paper presents an effective and reliable pose tracking solution, termed ERPoT, for mobile robots operating in large-scale outdoor and challenging indoor environments, underpin…
QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs
Pengyu Wang, Zhaohua Yang, Nachuan Yang +7
Safety-critical intelligent cyber-physical systems, such as quadrotor unmanned aerial vehicles (UAVs), are vulnerable to different types of cyber attacks, and the absence of timely…
MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments
Pengyu Wang, Jiawei Tang, Hin Wang Lin +5
Trajectory planning for quadrotors in cluttered environments has been challenging in recent years. While many trajectory planning frameworks have been successful, there still exist…
History-Aware Planning for Risk-free Autonomous Navigation on Unknown Uneven Terrain
Yinchuan Wang, Nianfei Du, Yongsen Qin +3
It is challenging for the mobile robot to achieve autonomous and mapless navigation in the unknown environment with uneven terrain. In this study, we present a layered and systemat…
3D Model-free Visual Localization System from Essential Matrix under Local Planar Motion
Yanmei Jiao, Binxin Zhang, Peng Jiang +3
Visual localization plays a critical role in the functionality of low-cost autonomous mobile robots. Current state-of-the-art approaches for achieving accurate visual localization…
Quadrotor Autonomous Landing on Moving Platform
Pengyu Wang, Chaoqun Wang, Jiankun Wang +1
This paper introduces a quadrotor's autonomous take-off and landing system on a moving platform. The designed system addresses three challenging problems: fast pose estimation, res…
Curiosity-based Robot Navigation under Uncertainty in Crowded Environments
Kuanqi Cai, Weinan Chen, Chaoqun Wang +2
Mobile robots have become more and more popular in large-scale and crowded environments, such as airports, shopping malls, etc. However, due to sparse landmarks and crowd noise, lo…
VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure
Delong Zhu, Chaoqun Wang, Wenshan Wang +3
This paper presents a fundamental algorithm, called VDB-EDT, for Euclidean distance transform (EDT) based on the VDB data structure. The algorithm executes on grid maps and generat…
Mobile Robot Path Planning in Dynamic Environments: A Survey
Kuanqi Cai, Chaoqun Wang, Jiyu Cheng +2
There are many challenges for robot navigation in densely populated dynamic environments. This paper presents a survey of the path planning methods for robot navigation in dense en…
Coverage Sampling Planner for UAV-enabled Environmental Exploration and Field Mapping
Teng Li, Chaoqun Wang, Max Q. -H. Meng +1
Unmanned Aerial Vehicles (UAVs) have been implemented for environmental monitoring by using their capabilities of mobile sensing, autonomous navigation, and remote operation. Howev…
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots
Tingguang Li, Danny Ho, Chenming Li +3
As one of the most promising areas, mobile robots draw much attention these years. Current work in this field is often evaluated in a few manually designed scenarios, due to the la…
SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments
Chaoqun Wang, Delong Zhu, Teng Li +2
In this paper, we propose an integrated framework for the autonomous robotic exploration in indoor environments. Specially, we present a hybrid map, named Semantic Road Map (SRM),…
Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments
Chaoqun Wang, Lili Meng, Sizhen She +6
Robots are increasingly operating in indoor environments designed for and shared with people. However, robots working safely and autonomously in uneven and unstructured environment…