44 citations · 133 across the 56 of their papers we have counts for
14 papers · 1 filter
Efficient RRT*-based Safety-Constrained Motion Planning for Continuum Robots in Dynamic Environments
Peiyu Luo, Shilong Yao, Yiyao Yue +3
Continuum robots, characterized by their high flexibility and infinite degrees of freedom (DoFs), have gained prominence in applications such as minimally invasive surgery and haza…
Disturbance Rejection Control for Autonomous Trolley Collection Robots with Prescribed Performance
Rui-Dong Xi, Liang Lu, Xue Zhang +4
Trajectory tracking control of autonomous trolley collection robots (ATCR) is an ambitious work due to the complex environment, serious noise and external disturbances. This work i…
Indoor Exploration and Simultaneous Trolley Collection Through Task-Oriented Environment Partitioning
Junjie Gao, Peijia Xie, Xuheng Gao +3
In this paper, we present a simultaneous exploration and object search framework for the application of autonomous trolley collection. For environment representation, a task-orient…
Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at Airports
Zhirui Sun, Boshu Lei, Peijia Xie +4
Robots have become increasingly prevalent in dynamic and crowded environments such as airports and shopping malls. In these scenarios, the critical challenges for robot navigation…
GVD-Exploration: An Efficient Autonomous Robot Exploration Framework Based on Fast Generalized Voronoi Diagram Extraction
Dingfeng Chen, Anxing Xiao, Meiyuan Zou +3
Rapidly-exploring Random Trees (RRTs) are a popular technique for autonomous exploration of mobile robots. However, the random sampling used by RRTs can result in inefficient and i…
Graph Neural Network Based Method for Path Planning Problem
Xingrong Diao, Wenzheng Chi, Jiankun Wang
Sampling-based path planning is a widely used method in robotics, particularly in high-dimensional state space. Among the whole process of the path planning, collision detection is…
Mani-GPT: A Generative Model for Interactive Robotic Manipulation
Zhe Zhang, Wei Chai, Jiankun Wang
In real-world scenarios, human dialogues are multi-round and diverse. Furthermore, human instructions can be unclear and human responses are unrestricted. Interactive robots face d…
Multi-robot Path Planning with Rapidly-exploring Random Disjointed-Trees
Biru Zhang, Jiankun Wang, Max Q. -H. Meng
Multi-robot path planning is a computational process involving finding paths for each robot from its start to the goal while ensuring collision-free operation. It is widely used in…
Virtual Reality Based Robot Teleoperation via Human-Scene Interaction
Lingxiao Meng, Jiangshan Liu, Wei Chai +2
Robot teleoperation gains great success in various situations, including chemical pollution rescue, disaster relief, and long-distance manipulation. In this article, we propose a v…
Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network
Wen Wei, Jiankun Wang
The development of autonomous vehicles has brought a great impact and changes to the transportation industry, offering numerous benefits in terms of safety and efficiency. However,…
A Systematic Evaluation of Different Indoor Localization Methods in Robotic Autonomous Luggage Trolley Collection at Airports
Zhirui Sun, Weinan Chen, Jiankun Wang +1
This article addresses the localization problem in robotic autonomous luggage trolley collection at airports and provides a systematic evaluation of different methods to solve it.…
Collaborative Trolley Transportation System with Autonomous Nonholonomic Robots
Bingyi Xia, Hao Luan, Ziqi Zhao +5
Cooperative object transportation using multiple robots has been intensively studied in the control and robotics literature, but most approaches are either only applicable to omnid…
FabricFolding: Learning Efficient Fabric Folding without Expert Demonstrations
Can He, Lingxiao Meng, Zhirui Sun +2
Autonomous fabric manipulation is a challenging task due to complex dynamics and potential self-occlusion during fabric handling. An intuitive method of fabric folding manipulation…
Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments
Ying Zhang, Heyong Wang, Maoliang Yin +2
The efficiency of sampling-based motion planning brings wide application in autonomous mobile robots. The conventional rapidly exploring random tree (RRT) algorithm and its variant…