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Adrian Burlacu
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2020 – today
- 2024
- [c25]Tudor-Andrei Paleu, Adrian Burlacu, Carlos Pascal:
Policy Transfer with Maximum Entropy Deep Reinforcement Learning for Real Cart-Pole Control. ICCP 2024: 1-7 - [c24]Aura Ganciu, Adrian Burlacu, Radu-Laurentiu Rosca:
A pose-free 2D-3D hybrid approach for visual servoing control systems. ICSTCC 2024: 527-532 - [c23]Ionut Sopon, Denis-Ioan Plescan, Adrian Burlacu:
Immersive Mixed Reality Framework for Enhanced Human-Robot Collaboration. ICSTCC 2024: 545-550 - 2023
- [j6]Adrian-Paul Botezatu
, Lavinia Ferariu, Adrian Burlacu
:
Enhancing Visual Feedback Control through Early Fusion Deep Learning. Entropy 25(10): 1378 (2023) - [c22]Florian-Alexandru Brasoveanu, Adrian Burlacu:
Towards independent SMA actuators: A novel analog two-state control system for flexible robots. ETFA 2023: 1-4 - [c21]Adrian Burlacu, Radu L. Rosca, Andrei I. Iancu
, Enric Cervera:
Pose-free visual servoing from 3D measurements. ECC 2023: 1-6 - [c20]Ionut Sopon, Cristina Tincu, Aura Ganciu, Adrian Burlacu:
Mixed Reality Framework for Eye-in-Hand Collaborative Robot-Human Interaction. ICSTCC 2023: 303-308 - 2022
- [c19]Adrian-Paul Botezatu, Lavinia Ferariu, Adrian Burlacu, Teodor-Andrei Sauciuc:
Visual Feedback Control using CNN Based Architecture with Input Data Fusion. ICSTCC 2022: 633-638 - [c18]Teodor-Andrei Sauciuc, Adrian Burlacu, Lavinia Ferariu, Adrian-Paul Botezatu:
SO3-CNN: Learning Rigid Displacement using Depth Images and Orthogonal Dual Tensors. IECON 2022: 1-6 - [c17]Adrian-Paul Botezatu, Lavinia Ferariu
, Adrian Burlacu, Teodor-Andrei Sauciuc:
Early Fusion Based CNN Architecture for Visual Servoing Systems. MMAR 2022: 199-204 - 2021
- [j5]Ioan Doroftei
, Daniel Chirita, Ciprian Stamate, Stelian Cazan, Carlos Pascal, Adrian Burlacu:
Robotic system design and development for automated dismantling of PCB waste. Ind. Robot 48(5): 720-725 (2021) - [c16]Codrut-Georgian Artene
, Simona Caraiman, Adrian Burlacu, Paul Herghelegiu:
Ground plane detection for wearable assistive devices for the visually impaired. ICSTCC 2021: 81-86 - 2020
- [c15]Mircea Hulea, George-Iulian Uleru, Adrian Burlacu
, Constantin Florin Caruntu:
Bioinspired SNN for robotic joint control. AQTR 2020: 1-5 - [c14]Sofia Hustiu
, Marius Kloetzer
, Adrian Burlacu:
Collision Free Path Planning for Unmanned Aerial Vehicles in Environments with Dynamic Obstacles. ICSTCC 2020: 520-525 - [c13]Adrian Burlacu
, Daniel Condurache
:
A different approach to solving the PBVS control problem. ISIE 2020: 1359-1364
2010 – 2019
- 2019
- [j4]Mircea Hulea
, Adrian Burlacu
, Constantin Florin Caruntu
:
Intelligent Motion Planning and Control for Robotic Joints Using Bio-Inspired Spiking Neural Networks. Int. J. Humanoid Robotics 16(4): 1950012:1-1950012:15 (2019) - [j3]Simona Caraiman
, Otilia Zvoristeanu
, Adrian Burlacu
, Paul Herghelegiu:
Stereo Vision Based Sensory Substitution for the Visually Impaired. Sensors 19(12): 2771 (2019) - [c12]Cristina Budaciu
, Nicolae Botezatu, Marius Kloetzer
, Adrian Burlacu
:
On the Evaluation of the Crazyflie Modular Quadcopter System. ETFA 2019: 1189-1195 - [c11]Marius Kloetzer
, Adrian Burlacu
, Gabriel Enescu, Simona Caraiman
, Cristian Mahulea:
Optimal Indoor Goods Delivery Using Drones. ETFA 2019: 1579-1582 - [c10]Mircea Hulea, Adrian Burlacu
, Constantin Florin Caruntu
:
Robotic Joint Control System based on Analogue Spiking Neural Networks and SMA Actuators. ICRA 2019: 1148-1154 - [c9]Marian Lupascu, Sofia Hustiu
, Adrian Burlacu
, Marius Kloetzer
:
Path Planning for Autonomous Drones using 3D Rectangular Cuboid Decomposition. ICSTCC 2019: 119-124 - 2018
- [c8]Adrian Burlacu
, Simona Caraiman
, Amalia Cozma, Ecaterina Dobrincu, Robert G. Lupu
, Roxana Miron, Otilia Zvoristeanu
:
Stereo vision based environment analysis and perception for autonomous driving applications. ICCP 2018: 281-286 - 2017
- [c7]Simona Caraiman
, Anca Morar
, Mateusz Owczarek, Adrian Burlacu
, Dariusz Rzeszotarski, Nicolae Botezatu, Paul Herghelegiu, Florica Moldoveanu, Pawel Strumillo, Alin Moldoveanu
:
Computer Vision for the Visually Impaired: the Sound of Vision System. ICCV Workshops 2017: 1480-1489 - [c6]Adriana Birlutiu, Adrian Burlacu, Manuella Kadar
, Daniela Onita
:
Defect Detection in Porcelain Industry Based on Deep Learning Techniques. SYNASC 2017: 263-270 - 2015
- [c5]Corneliu Lazar, Adrian Burlacu
:
A Control Predictive Framework for Image-Based Visual Servoing Applications. RAAD 2015: 185-193 - 2014
- [j2]Adrian Burlacu
, Cosmin Copot
, Corneliu Lazar:
Predictive control architecture for real-time image moments based servoing of robot manipulators. J. Intell. Manuf. 25(5): 1125-1134 (2014) - [c4]Adrian Burlacu
, Marius Kloetzer
, Florin Ostafi:
Optimal multi-agent planning solution for a sample gathering problem. AQTR 2014: 1-5 - [p1]Corneliu Lazar, Adrian Burlacu
, Alexandru Archip
:
Vision-Guided Robot Manipulation Predictive Control for Automating Manufacturing. Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics 2014: 313-328 - 2012
- [j1]Adrian Burlacu
, Corneliu Lazar
:
Reference Trajectory-Based Visual Predictive Control. Adv. Robotics 26(8-9): 1035-1054 (2012) - 2011
- [c3]Adrian Burlacu
, Cosmin Copot
, Enric Cervera
, Corneliu Lazar
:
Real-time visual predictive control of manipulation systems. ICAR 2011: 383-388 - [c2]Adrian Burlacu, Cosmin Copot, Andrei Panainte, Carlos Pascal, Corneliu Lazar:
Real-time Image based Visual Servoing Architecture for Manipulator Robots. VISAPP 2011: 502-510
2000 – 2009
- 2009
- [c1]Corneliu Lazar
, Adrian Burlacu
:
Visual Servoing of Robot Manipulators Using Model-based Predictive Control. INDIN 2009: 690-695
Coauthor Index
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last updated on 2025-01-20 22:59 CET by the dblp team
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