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Christian Schlette
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2020 – today
- 2024
- [c35]Jinha Park, Chen Li, Zhuangzhuang Dai, Christian Schlette:
Towards Safe Human-Robot Interaction: A Pilot Study on a Deep Learning-Assisted Workspace Monitoring System. QRS Companion 2024: 1197-1202 - [i3]Krzysztof Zielinski, Ryan Penning, Bruce Blumberg, Christian Schlette, Mikkel Baun Kjærgaard:
RobotGraffiti: An AR tool for semi-automated construction of workcell models to optimize robot deployment. CoRR abs/2410.00484 (2024) - 2023
- [j8]Juan Heredia
, Robin Jeanne Kirschner
ECDP: Energy Consumption Disaggregation Pipeline for Energy Optimization in Lightweight Robots. IEEE Robotics Autom. Lett. 8(10): 6107-6114 (2023) - [c34]Juan Heredia
Breaking Down the Energy Consumption of Industrial and Collaborative Robots: A Comparative Study. ETFA 2023: 1-8 - [c33]Juan Heredia
Going Green with Lightweight Robots: Energy Optimal Programming of Lightweight Robots. ICAR 2023: 212-219 - [c32]Juan Heredia, Christian Schlette, Mikkel Baun Kjærgaard:
EcBot: Data-Driven Energy Consumption Open-Source MATLAB Library for Manipulators. ICAR 2023: 340-347 - [c31]Alberto Sartori
MQTT Enabled Simulation Interface for Motion Execution of Industrial Robots. ICARA 2023: 28-32 - [c30]Alberto Sartori
Assembly Task Modelling Method for Automatic Robot Program Generation. ICCMA 2023: 245-252 - [c29]Jinha Park
Digitalizing Manual Processes Using Digital Twins and Product Lifecycle Management for Safe Human-Robot Interaction Scenarios. ICAC 2023: 1-6 - [c28]Juan Heredia
Labelling Lightweight Robot Energy Consumption: A Mechatronics-Based Benchmarking Metric Set. IROS 2023: 1789-1796 - [c27]Ahmed Magdy Ahmed Zaki
Digital model reconstruction through 3D Stereo Depth camera: a faster method exploiting robot poses. ISM 2023: 1542-1549 - [c26]Juan Heredia
Empowering Cobots with Energy Models: Real Augmented Digital Twin Cobot with Accurate Energy Consumption Model. RO-MAN 2023: 1353-1359 - 2022
- [c25]Jinha Park
A Digital Twin-based Workspace Monitoring System for Safe Human-Robot Collaboration. ICCMA 2022: 24-30 - [c24]Daniella Tola
Towards Easy Robot System Integration: Challenges and Future Directions. SII 2022: 77-82 - [i2]Juan Heredia, Christian Schlette, Mikkel Baun Kjærgaard:
AR Training App for Energy Optimal Programming of Cobots. CoRR abs/2210.08015 (2022) - 2021
- [j7]Aljaz Kramberger
Robotic Assembly of Timber Structures in a Human-Robot Collaboration Setup. Frontiers Robotics AI 8: 768038 (2021) - [j6]Juan Heredia
Data-Driven Energy Estimation of Individual Instructions in User-Defined Robot Programs for Collaborative Robots. IEEE Robotics Autom. Lett. 6(4): 6836-6843 (2021) - [c23]Alberto Sartori
Visual Programming of a Human-Machine Interface for a Multi-Robot Support System. ICPS 2021: 387-392 - [c22]Daniella Tola, Cláudio Gomes, Carl Schultz, Christian Schlette, Casper Hansen, Lukas Esterle:
RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. RuleML+RR (Supplement) 2021 - [d1]Juan Esteban Heredia Mena
Dataset of Collaborative Robots for Energy Consumption Modeling. IEEE DataPort, 2021 - 2020
- [j5]Felix Von Drigalski
Robots assembling machines: learning from the World Robot Summit 2018 Assembly Challenge. Adv. Robotics 34(7-8): 408-421 (2020) - [j4]Christian Schlette
Towards robot cell matrices for agile production - SDU Robotics' assembly cell at the WRC 2018. Adv. Robotics 34(7-8): 422-438 (2020) - [c21]Lars Carøe Sørensen
Towards Digital Twins for Industrial Assembly - Improving Robot Solutions by Intuitive User Guidance and Robot Programming. ETFA 2020: 1480-1484
2010 – 2019
- 2019
- [c20]Aljaz Kramberger
Automatic Fingertip Exchange System for Robotic Grasping in Flexible Production Processes. CASE 2019: 1664-1669 - [i1]Felix Von Drigalski, Christian Schlette, Martin Rudorfer, Nikolaus Correll, Joshua C. Triyonoputro, Weiwei Wan, Tokuo Tsuji, Tetsuyou Watanabe:
Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge. CoRR abs/1911.05884 (2019) - 2018
- [j3]Thiusius Rajeeth Savarimuthu
Teaching a Robot the Semantics of Assembly Tasks. IEEE Trans. Syst. Man Cybern. Syst. 48(5): 670-692 (2018) - [c19]Gudmundur G. Gunnarsson, Ole W. Nielsen, Christian Schlette, Henrik Gordon Petersen
Fast and Simple Interacting Models of Drape Tool and Ply Material for Handling Free Hanging, Pre-impregnated Carbon Fibre Material. ICINCO (Selected Papers) 2018: 1-25 - [c18]Christian Schlette:
Fast and Simple Model - For Free Hanging, Pre-impregnated Carbon Fibre Material. ICINCO (1) 2018: 17-24 - [c17]Troels Bo Jørgensen, Thorbjørn Mosekjær Iversen
Simulation-based Optimization of Camera Placement in the Context of Industrial Pose Estimation. VISIGRAPP (5: VISAPP) 2018: 524-533 - 2016
- [c16]Christian Schlette, Eric Guiffo Kaigom, Daniel Losch, Georgij Grinshpun, Markus Emde, Ralf Waspe
3D simulation-based user interfaces for a highly-reconfigurable industrial assembly cell. ETFA 2016: 1-6 - [c15]Christian Schlette, Jürgen Roßmann
Model-Based Development of Robotic Systems and Services in Construction Robotics. RAAD 2016: 560-567 - [c14]Torben Cichon, Christian Schlette, Jürgen Roßmann
Towards a 3D simulation-based operator interface for teleoperated robots in disaster scenarios. SSRR 2016: 264-269 - 2015
- [c13]Christian Schlette, Jürgen Roßmann
Utilization of motion planning strategies for micro-optical assembly. CASE 2015: 781-786 - [c12]Jürgen Rossmann, Michael Schluse
Virtual BIM Testbeds: The eRobotics Approach to BIM and Its Integration into Simulation, Rendering, Virtual Reality and More. DeSE 2015: 250-255 - [c11]Christian Schlette, Jürgen Roßmann
Preparing sampling-based motion planning for manufacturers of micro-optical components. ETFA 2015: 1-6 - 2014
- [j2]Jürgen Roßmann
Mental Models for Intelligent Systems: eRobotics Enables New Approaches to Simulation-Based AI. Künstliche Intell. 28(2): 101-110 (2014) - [j1]Christian Schlette, Anders Glent Buch, Eren Erdal Aksoy
A new benchmark for pose estimation with ground truth from virtual reality. Prod. Eng. 8(6): 745-754 (2014) - 2013
- [b1]Christian Schlette:
Anthropomorphe Multi-Agentensysteme: Simulation, Analyse und Steuerung. RWTH Aachen University, Springer Vieweg 2013, ISBN 978-3-658-02518-2, pp. 1-215 - [c10]Michael Schluse
Advanced 3D Simulation Technology for eRobotics: Techniques, Trends, and Chances. DeSE 2013: 151-156 - [c9]Jürgen Rossmann
A Virtual Testbed for Human-Robot Interaction. UKSim 2013: 277-282 - 2012
- [c8]Jürgen Rossmann, Michael Schluse, Christian Schlette, Ralf Waspe
Control by 3D Simulation - A New eRobotics Approach to Control Design in Automation. ICIRA (2) 2012: 186-197 - 2011
- [c7]Christian Schlette, Jürgen Rossmann
Motion Control Strategies for Humanoids Based on Ergonomics. ICIRA (2) 2011: 229-240 - [c6]Franziska Zacharias, Christian Schlette, Florian Schmidt, Christoph Borst, Jürgen Rossmann
Making planned paths look more human-like in humanoid robot manipulation planning. ICRA 2011: 1192-1198 - 2010
- [c5]Jürgen Roßmann, Kevin Eilers, Christian Schlette, Michael Schluse:
A Uniform Framework to Program, Animate and Control Objects, Kinematics and Articulated Mechanisms in a Comprehensive Simulation System. ISR/ROBOTIK 2010: 1-7
2000 – 2009
- 2009
- [c4]Jürgen Roßmann, Michael Schluse, Christian Schlette, Arno Bücken, Petra Krahwinkler, Markus Emde:
Realization of a highly accurate mobile robot system for multi purpose precision forestry applications. ICAR 2009: 1-6 - [c3]Christian Schlette, Jürgen Rossmann:
Robotics enable the simulation and animation of the Virtual Human. ICAR 2009: 1-6 - 2004
- [c2]Eckhard Freund, Jürgen Rossmann
Using supervisory control methods for model based control of multi-agent systems. RAM 2004: 649-654 - 2003
- [c1]Eckhard Freund, Jürgen Rossmann, Christian Schlette:
Controlling anthropomorphic kinematics as multi-agent systems. IROS 2003: 3662-3667
Coauthor Index
aka: Jürgen Rossmann
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