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Eric Demeester
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2020 – today
- 2024
- [c32]Lobna Joualy, Eric Demeester, Nikolaos Tsiogkas:
KB4RL: Towards a Knowledge Base for automatic creation of State and Action Spaces for Reinforcement Learning. ESWC Workshops 2024 - [c31]Toon Stuyck, Eric Demeester:
Impact of Using GAN Generated Synthetic Data for the Classification of Chemical Foam in Low Data Availability Environments. ICPRAM 2024: 620-627 - 2023
- [j14]David De Schepper
, Gert Schouterden
Human-robot mobile co-manipulation of flexible objects by fusing wrench and skeleton tracking data. Int. J. Comput. Integr. Manuf. 36(1): 30-50 (2023) - [j13]Hui Zhang
BIG-Net: Deep Learning for Grasping With a Bio-Inspired Soft Gripper. IEEE Robotics Autom. Lett. 8(2): 584-591 (2023) - [j12]Ivo Dekker
Design and Evaluation of an Intuitive Haptic Teleoperation Control System for 6-DoF Industrial Manipulators. Robotics 12(2): 54 (2023) - [j11]Hui Zhang
Deep Learning Reactive Robotic Grasping With a Versatile Vacuum Gripper. IEEE Trans. Robotics 39(2): 1244-1259 (2023) - [c30]Peter Aerts, Peter Slaets, Eric Demeester
Graph-Based Simultaneous Localization and Mapping with incorporated Dynamic Object Motion. ECMR 2023: 1-7 - 2022
- [j10]Robin Amsters
Automating the Calibration of Visible Light Positioning Systems. Sensors 22(3): 998 (2022) - [c29]Toon Stuyck, Axel-Jan Rousseau, Mattia Vallerio
Semi-Supervised Cloud Detection with Weakly Labeled RGB Aerial Images using Generative Adversarial Networks. ICPRAM 2022: 630-635 - [c28]Yanming Wu
An Improved Approach to 6D Object Pose Tracking in Fast Motion Scenarios. IRC 2022: 229-237 - [c27]David De Schepper
Towards a Semi-Autonomous Robot Platform for the Characterisation of Radiological Environments. SSRR 2022: 230-237 - 2021
- [j9]Inhyuk Baek
Pre-Grasp Manipulation Planning to Secure Space for Power Grasping. IEEE Access 9: 157715-157726 (2021) - [j8]Rafaël Verbiest
Automation and robotics in the cultivation of pome fruit: Where do we stand today? J. Field Robotics 38(4): 513-531 (2021) - [j7]Hui Zhang
A CNN-Based Grasp Planning Method for Random Picking of Unknown Objects with a Vacuum Gripper. J. Intell. Robotic Syst. 103(4): 64 (2021) - [j6]Martijn Cramer
Probabilistic Decision Model for Adaptive Task Planning in Human-Robot Collaborative Assembly Based on Designer and Operator Intents. IEEE Robotics Autom. Lett. 6(4): 7325-7332 (2021) - [j5]Robin Amsters
Calibration of Visible Light Positioning Systems with a Mobile Robot. Sensors 21(7): 2394 (2021)
2010 – 2019
- 2019
- [j4]Robin Amsters
In-Depth Analysis of Unmodulated Visible Light Positioning Using the Iterated Extended Kalman Filter. Sensors 19(23): 5198 (2019) - [c26]Kevin Denis, Johan Philips, Herman Bruyninckx, Eric Demeester:
Clothoidal Local Path Template for Intention Estimation by Assistive Mobile Robots. ICAPS 2019: 689-697 - [c25]Peter Aerts, Eric Demeester
Time Synchronisation of Low-cost Camera Images with IMU Data based on Similar Motion. ICINCO (2) 2019: 292-299 - [c24]Robin Amsters, Eric Demeester
Towards Automated Calibration of Visible Light Positioning Systems. IPIN 2019: 1-8 - 2018
- [c23]Jeroen De Maeyer, Mark Versteyhe, Eric Demeester
Sampling-based Tube Following for Redundant, Planar Robotic Manipulators. ETFA 2018: 752-758 - [c22]Robin Amsters
Unmodulated Visible Light Positioning Using the Iterated Extended Kalman Filter. IPIN 2018: 1-8 - [c21]Alexander Hunternann, Eric Demeester
User-specific Gaussian Process Model of Wheelchair Drivers with a Haptic Joystick Interface. IROS 2018: 2457-2463 - 2017
- [c20]Jeroen De Maeyer, Bart Moyaers, Eric Demeester
Cartesian path planning for arc welding robots: Evaluation of the descartes algorithm. ETFA 2017: 1-8 - 2016
- [c19]Eric Demeester, Alexander Hüntemann:
Detecting User Intention Changes Using the Kullback-Leibler Distance. AAAI Fall Symposia 2016 - [c18]Maarten Verheyen, Wim Beckers, Eric Claesen, Geert Moonen, Eric Demeester
Vision-based sorting of medium density fibreboard and grade A wood waste. ETFA 2016: 1-6 - 2013
- [c17]Alexander Hüntemann, Eric Demeester
Probabilistic approach to recognize local navigation plans by fusing past driving information with a personalized user model. ICRA 2013: 4376-4383 - 2012
- [c16]Emmanuel B. Vander Poorten
Backwards Maneuvering Powered Wheelchairs with Haptic Guidance. EuroHaptics (1) 2012: 419-431 - [c15]Emmanuel B. Vander Poorten
Powered wheelchair navigation assistance through kinematically correct environmental haptic feedback. ICRA 2012: 3706-3712 - 2011
- [c14]Eric Demeester
Active, lifelong sensor synchronization: A Kalman filtering approach. ICAR 2011: 501-506 - [c13]Luca Bascetta, Gianni Ferretti, Paolo Rocco, Håkan Ardö, Herman Bruyninckx, Eric Demeester
Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation. IROS 2011: 2971-2978 - 2010
- [j3]Dirk Vanhooydonck, Eric Demeester
Adaptable navigational assistance for intelligent wheelchairs by means of an implicit personalized user model. Robotics Auton. Syst. 58(8): 963-977 (2010)
2000 – 2009
- 2009
- [c12]Eric Demeester, Alexander Hüntemann, José del R. Millán, Hendrik Van Brussel:
Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition. ESANN 2009 - [c11]Eric Demeester
Bayesian plan recognition for Brain-Computer Interfaces. ICRA 2009: 653-658 - 2008
- [j2]Eric Demeester
User-adapted plan recognition and user-adapted shared control: A Bayesian approach to semi-autonomous wheelchair driving. Auton. Robots 24(2): 193-211 (2008) - [c10]Alexander Hüntemann, Eric Demeester
Online user modeling with Gaussian Processes for Bayesian plan recognition during power-wheelchair steering. IROS 2008: 285-292 - 2007
- [b1]Eric Demeester:
User-Adapted Plan Recognition and Shared Control for Wheelchair Driver Assistance under Unvertainty (Geïndividualiseerde planherkenning en gedeelde controle voor navigatiehulp aan rolstoelgebruikers op basis van onzekere metingen) ; User-Adapted Plan Recognition and Shared Control for Wheelchair Driver Assistance under Unvertainty. Katholieke Universiteit Leuven, Belgium, 2007 - [c9]Alexander Hüntemann, Eric Demeester
Bayesian plan recognition and shared control under uncertainty: assisting wheelchair drivers by tracking fine motion paths. IROS 2007: 3360-3366 - 2006
- [j1]Valentin Enescu, Geert De Cubber, Kenny Cauwerts, Hichem Sahli, Eric Demeester, Dirk Vanhooydonck, Marnix Nuttin:
Active stereo vision-based mobile robot navigation for person tracking. Integr. Comput. Aided Eng. 13(3): 203-222 (2006) - [c8]Eric Demeester
Bayesian Estimation of Wheelchair Driver Intents: Modeling Intents as Geometric Paths Tracked by the Driver. IROS 2006: 5775-5780 - [c7]Gerolf Vanacker, Dirk Vanhooydonck, Eric Demeester
Adaptive filtering approach to improve wheelchair driving performance. RO-MAN 2006: 527-532 - 2005
- [c6]Toon Goedemé
Is structure needed for omnidirectional visual homing? CIRA 2005: 303-308 - [c5]Eric Demeester
Global dynamic window approach for holonomic and non-holonomic mobile robots with arbitrary cross-section. IROS 2005: 2357-2362 - 2003
- [c4]Ben J. A. Kröse, Josep M. Porta, Albert J. N. van Breemen, Ko Crucq, Marnix Nuttin, Eric Demeester
Lino, the User-Interface Robot. EUSAI 2003: 264-274 - [c3]Marnix Nuttin, Dirk Vanhooydonck, Eric Demeester, Hendrik Van Brussel, Karel Buijsse, Luc Desimpelaere, Peter Ramon, Tony Verschelden:
A Robotic Assistant for Ambient Intelligent Meeting Rooms. EUSAI 2003: 304-317 - [c2]Eric Demeester
A model-based, probabilistic framework for plan recognition in shared wheelchair control: experiments and evaluation. IROS 2003: 1456-1461 - 2001
- [c1]Marnix Nuttin, Eric Demeester, Dirk Vanhooydonck, Hendrik Van Brussel:
Shared Autonomy for Wheel Chair Control: Attempts to Assess the User's Autonomy. AMS 2001: 127-133
Coauthor Index
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last updated on 2024-10-21 20:30 CEST by the dblp team
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