Publications

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2018
Blaga A, Tamas L.  2018.  Augmented Reality for Digital Manufacturing. 2018 26th Mediterranean Conference on Control and Automation (MED).
Fulop A-O, Tamas L.  2018.  Lessons learned from lightweight CNN based object recognition for mobile robots. 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
Mitrea D, Tamas L.  2018.  Manufacturing Execution System Specific Data Analysis-Use Case With a Cobot. IEEE Access. 6:50245–50259.
Marton L, Tamas L.  2018.  Wireless Data Rate Controller Design for Networked Control Applications. 2018 26th Mediterranean Conference on Control and Automation (MED).
2017
Colson A, Tamas L.  2017.  Bremen Cog: Three Recording Techniques for One Object. Digital Techniques for Documenting and Preserving Cultural Heritage.
Tamas L, Baboly L.  2017.  Industry 4.0 – MES Vertical Integration Use-case with a Cobot. ICRA - IC3 Workshop.
Militaru C, Mezei A-D, Tamas L.  2017.  Lessons Learned from a Cobot Integration into MES. ICRA - Recent Advances in Dynamics for Industrial Applications Workshop.
2016
Mezei A-D, Tamas L.  2016.  Active Perception for Object Manipulation. 2016 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). :1–6.
Páll E, Tamas L, Busoniu L.  2016.  Analysis and a home assistance application of online AEMS2 planning. IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS-16).
Bragagnolo M-C, Morarescu C, Busoniu L, Riedinger P.  2016.  Decentralized Formation Control in Fleets of Nonholonomic Robots with a Clustered Pattern. Handling Uncertainty and Structure in Robot Control. :313–333.
Busoniu L, Tamas L.  2016.  Handling Uncertainty and Networked Structure in Robot Control. Studies in Systems, Decision and Control.
Frohlich R, Tamas L, Kato Z.  2016.  Homography Estimation between Omnidirectional Cameras without Point Correspondences. Handling Uncertainty and Structure in Robot Control.
Frohlich R, Tamas L, Kato Z.  2016.  Homography Estimation between Omnidirectional Cameras without Point Correspondences. Handling Uncertainty and Structure in Robot Control.
Militaru C, Mezei A-D, Tamas L.  2016.  Object handling in cluttered indoor environment with a mobile manipulator. 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). :1–6.
Estrada-Manzo V., Lendek Zs., Guerra T-M.  2016.  Observer Design for Robotic Systems via Takagi-Sugeno Models and Linear Matrix Inequalities. Handling Uncertainty and Networked Structure in Robot Control.
Frohlich R, Kato Z, Trémeau A, Tamas L, Shabo S, Waksman SYona.  2016.  Region Based Fusion of 3D and 2D Visual Data for Cultural Heritage Objects. International Conference on Pattern Recognition (ICPR). :1–6.
Páll E, Tamas L, Busoniu L.  2016.  Vision-Based Quadcopter Navigation in Structured Environments. Handling Uncertainty and Structure in Robot Control. :265–290.
Páll E, Tamas L, Busoniu L.  2016.  Vision-Based Quadcopter Navigation in Structured Environments. Handling Uncertainty and Structure in Robot Control. :265–290.
2015
Kato Z, Tamas L.  2015.  Relative Pose Estimation and Fusion of 2D Spectral and 3D Lidar Images. Computational Color Imaging. LNCS:33–42.
Bulezyuk A, Tamas L.  2015.  Visual Tracking with a Small Scale Aircraft. IEEE International Symposium on Computational Intelligence and Informatics.
2014
Tamas L, Goron LCosmin.  2014.  3D semantic interpretation for robot perception inside office environments. Engineering Applications of Artificial Intelligence. 32:76–87.
Tamas L, Jensen B.  2014.  All-Season 3D Object Recognition Challenges. ICRA Workshop on Visual Place Recognition in Changing Environments.
Marton L, Szanto Z, Vajda T, Haller P, Sandor H, Szabo T, Tamas L.  2014.  Communication delay and jitter influence on bilateral teleoperation. Control and Automation (MED), 2014 22nd Mediterranean Conference of. :1171–1176.
Busoniu L, Tamas L.  2014.  Optimistic Planning for the Near-Optimal Control of General Nonlinear Systems with Continuous Transition Distributions. 19th IFAC World Congress (IFAC-14).
Páll E, Mathe K, Tamas L, Busoniu L.  2014.  Railway track following with the AR. Drone using vanishing point detection. Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on. :1–6.

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