A5008057534- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Satellite Image Processing and Photogrammetry
- Evacuation and Crowd Dynamics
- Ocular and Laser Science Research
- Advanced Memory and Neural Computing
- Modular Robots and Swarm Intelligence
- Robotic Path Planning Algorithms
- Smart Agriculture and AI
- Reinforcement Learning in Robotics
- Optical Wireless Communication Technologies
- Robotic Locomotion and Control
- Industrial Automation and Control Systems
- Advanced Optical Sensing Technologies
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Social Robot Interaction and HRI
Le Quy Don Technical University
2020-2023
This paper proposes a proactive trajectory planning algorithm for autonomous mobile robots in dynamic social environments. The main idea of the proposed timed elastic band (PTEB) system is to combine advantages (TEB) technique and hybrid reciprocal velocity obstacle (HRVO) model by incorporating potential collision generated HRVO into objective function TEB technique. output PTEB optimal trajectory, which enables navigate safely We validate effectiveness through series experiments simulation...
The paper proposes a new supervised learning algorithm for spiking neural networks (SNNs). This is based on the error back-propagation algorithms. However, it considered that decay time of spike response function variable needs to be adjusted during network training instead synaptic weights. By calculating and adjusting variable, firing neurons in will ensure output fire spikes at desired time. accuracy efficiency proposed are through XOR classification problem. results show has successful...
Recently, terrestrial laser scanner (TLS) has been increasingly used to monitor ofdisplacement of high-rise buildings. The main advantages this technique are time-saving, higherpoint density, and higher accuracy in comparison with GPS conventional methods. While TLS isordinary worldwide, there no study the capability monitoring displacement ofhigh-rise buildings yet Vietnam. paper's goal is build a procedure for monitoringof assess application. In experiments, scannedboard 60 cm x mounted on...
When choosing a laser wavelength for proximity fuze with high accuracy requirements, the weather condition is considerable element. Hence, paper developed detection model in different conditions based on Monte Carlo method to evaluate capability. As atmospheric attenuation function of wavelength, there conception that pulsed 1550 nm light suffers from less than 785 or 850 all (Pratt, 1969). However, foggy (visibility <500 m), results showed appeared be independent, i.e. wavelengths nm,...
In this study, we propose a socially aware navigation framework, which enables mobile robot to avoid humans and social interactions in dynamic environments, using deep reinforcement learning algorithm. The proposed framework is composed of two main stages. the first stage, socio-spatio-temporal characteristics including human states are extracted projected onto 2D laser plane. second these features then feed into neural network, trained asynchronous advantage actor-critic (A3C) technique,...
Monitoring the displacement of high-rise buildings using a terrestrial laser scanner (TLS) is an active research topic in field engineering surveying. The Faro Focus3D X130 one most suitable scanners which widely used different industries, such as architecture, archaeology, shipbuilding, and construction. However, surveying, potential use this not investigated for monitoring yet. This paper's goal to evaluate accuracy buildings. In fieldwork experiment, high-rise-rise building’s simulated by...