A deep Q-learning network based active object detection model with a novel training algorithm for service robots

S Liu, G Tian, Y Cui, X Shao - Frontiers of Information Technology & …, 2022 - Springer
This paper focuses on the problem of active object detection (AOD). AOD is important for
service robots to complete tasks in the family environment, and leads robots to approach the …

Trf-net: A transformer-based rgb-d fusion network for desktop object instance segmentation

H Cao, Y Zhang, D Shan, X Liu, J Zhao - Neural Computing and …, 2023 - Springer
To perform object-specific tasks on the desktop, robots need to perceive different objects.
The challenge is to calculate the pixel-wise mask for each object, even in the presence of …

Fuzzy A∗ quantum multi-stage Q-learning artificial potential field for path planning of mobile robots

L Hu, C Wei, L Yin - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
Aiming at problem of the efficiency of mobile robots heavily depends on the employed path-
planning algorithms that encounter significant challenges from dynamic obstacles and …

Towards Design Automation of Microfluidic Mixers: Leveraging Reinforcement Learning and Artificial Neural Networks

Y Chen, T Sun, Z Liu, Y Zhang, J Wang - Micromachines, 2024 - pmc.ncbi.nlm.nih.gov
Microfluidic mixers, a pivotal application of microfluidic technology, are primarily utilized for
the rapid amalgamation of diverse samples within microscale devices. Given the intricacy of …

Two-level graph path reasoning for conversational recommendation with user realistic preference

R Zhao, S Ju, J Peng, N Yang, F Yan… - proceedings of the 31st …, 2022 - dl.acm.org
Conversational recommender systems model user dynamic preferences and recommend
items based on multi-turn interactions. Though the conversational recommender system has …

Davis-ag: a synthetic plant dataset for developing domain-inspired active vision in agricultural robots

T Choi, D Guevara, G Bandodkar, Z Cheng… - arXiv preprint arXiv …, 2023 - arxiv.org
In agricultural environments, viewpoint planning can be a critical functionality for a robot with
visual sensors to obtain informative observations of objects of interest (eg, fruits) from …

Hierarchical Semantic Knowledge-Based Object Search Method for Household Robots

M Zhang, G Tian, Y Cui, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Object search is a basic and necessary task for household robots to perform home services.
However, due to the complexity and dynamics in home environment, some target objects …

Compatibility and Performance Improvement of the WPT Systems Based on Q-learning Algorithm

X Liu, J Chao, C Rong, Z Liao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Different kinds of compensation topologies are widely used in wireless power transfer (WPT)
systems, resulting in loads with different compensation topologies hardly obtaining the same …

An Intelligent Human-like Motion Planner for Anthropomorphic Arms Based on Diversified Arm Motion Models

Y Wei - Electronics, 2023 - mdpi.com
In this paper, the human-like motion issue for anthropomorphic arms is further discussed. An
Intelligent Human-like Motion Planner (IHMP) consisting of Movement Primitive (MP) …

An active object detection model with multi-step prediction based on deep q-learning network and innovative training algorithm

J Wang, F Zhu, Q Wang, Y Cui, H Sun, P Zhao - Applied Intelligence, 2025 - Springer
Abstract Active Object Detection (AOD) gathers additional information by deliberately
adjusting the agent's viewpoint, ensuring precise detection results in complex environments …