Suchergebnisse - "Simulation and Animation"

RadaRays: Real-Time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-Accelerated Ray Tracing

Autoren: Mock, Alexander Magnusson, Martin, Docent Hertzberg, Joachim

Quelle: IEEE Robotics and Automation Letters. 10(3):2470-2477

Schlagwörter: Radar, Radar imaging, Robots, Spaceborne radar, Ray tracing, Meteorological radar, Real-time systems, Radar scattering, Radar antennas, Radar cross-sections, Simulation and animation, range sensing, software tools for robot programming, SLAM, collision avoidance

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-119270

Sim-to-Real of Soft Robots With Learned Residual Physics

Autoren: Junpeng Gao Mike Y. Michelis Andrew Spielberg et al.

Quelle: IEEE Robotics and Automation Letters. 9:8523-8530

Schlagwörter: FOS: Computer and information sciences, Computer Science - Robotics, Deep learning methods, optimization and optimal control, simulation and animation, modeling, dynamics, control, Robotics (cs.RO), and learning for soft robots

Zugangs-URL: http://arxiv.org/abs/2402.01086

Co-designing versatile quadruped robots for dynamic and energy-efficient motions

Autoren: Fadini, Gabriele Kumar, Shivesh Kumar, Rohit et al.

Weitere Verfasser: Fadini, Gabriele Kumar, Shivesh Kumar, Rohit et al.

Quelle: Robotica. 42:2004-2025

Schlagwörter: Methods and Tools for Robot System Design Optimization and Optimal Control Simulation and Animation Mechanism Design, Mechanism Design, 0209 industrial biotechnology, [PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph], Simulation and Animation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Optimization and Optimal Control, [PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph], [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 02 engineering and technology, 7. Clean energy, legged robots actuation and joint mechanisms methods and tools for robot system design, mechanism design, optimization and optimal control, simulation and animation, Methods and Tools for Robot System Design, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Dateibeschreibung: application/pdf

Zugangs-URL: https://laas.hal.science/hal-04162737v1/document
https://doi.org/10.1017/s0263574724000730
https://laas.hal.science/hal-04162737v1
https://hdl.handle.net/11572/434870
https://doi.org/10.1017/s0263574724000730

Understanding URDF: A Dataset and Analysis

Autoren: Daniella Tola Peter Corke

Quelle: Tola, D & Corke, P 2024, 'Understanding URDF: A Dataset and Analysis', IEEE Robotics and Automation Letters, vol. 9, no. 5, 10478618, pp. 4479-4486. https://doi.org/10.1109/LRA.2024.3381482
Tola, D & Corke, P 2023 ' Understanding URDF : A Dataset and Analysis ' .
Tola, D & Corke, P 2024, 'Understanding URDF : A Dataset and Analysis', IEEE Robotics and Automation Letters, vol. 9, no. 5, 10478618, pp. 4479-4486. https://doi.org/10.1109/LRA.2024.3381482

Schlagwörter: FOS: Computer and information sciences, Mathematical models, Kinematics, Service robots, cs.RO, Collision avoidance, Simulation and Animation, software tools for benchmarking and reproducibility, Software Tools for Benchmarking and Reproducibility, Simulation and animation, Computer Science - Robotics, kinematics, Robots, Robotics (cs.RO), Matlab, Visualization

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2308.00514
https://pure.au.dk/portal/en/publications/85dbdf22-940a-454c-995b-aa3d7f285c1a
https://pure.au.dk/portal/en/publications/85dbdf22-940a-454c-995b-aa3d7f285c1a
https://pure.au.dk/ws/files/345804699/2308.00514v1.pdf
https://pure.au.dk/portal/en/publications/49c9e2c4-f269-4eaa-a925-40e59b2647e0
https://doi.org/10.1109/LRA.2024.3381482
http://www.scopus.com/inward/record.url?scp=85189152719&partnerID=8YFLogxK

Automation of Luggage Handling in Airports: Survey and the Simulation Environment: Survey and the Simulation Environment

Autoren: Trumić, Maja Muhammad, Ali

Quelle: 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN). :1-5

Schlagwörter: manipulation, simulation and animation, robotics and automation

Active Prostate Phantom with Multiple Chambers

Autoren: Tian, Sizhe Adagolodjo, Yinoussa Dequidt, Jeremie

Weitere Verfasser: Tian, Sizhe Adagolodjo, Yinoussa Dequidt, Jeremie

Schlagwörter: FOS: Computer and information sciences, Medical Physics, Medical Robots and Systems, Simulation and Animation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], FOS: Physical sciences, Soft Robot Applications, Robotics, Medical Physics (physics.med-ph), Robotics (cs.RO)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2508.15873
https://hal.science/hal-05216849v1
https://hal.science/hal-05216849v1/document

Lane Segmentation Data Augmentation for Heavy Rain Sensor Blockage Using Realistically Translated Raindrop Images and CARLA Simulator

Autoren: Jinu Pahk Seongjeong Park Jungseok Shim et al.

Quelle: IEEE Robotics and Automation Letters. 9:5488-5495

Schlagwörter: simulation and animation, data sets for robotic vision, Computer vision for automation

HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation

Autoren: Noé Pérez-Higueras Roberto Otero Fernando Caballero et al.

Quelle: RIO. Repositorio Institucional Olavide
Universidad Pablo de Olavide (UPO)

Schlagwörter: Behavioral sciences, FOS: Computer and information sciences, Measurement, Benchmark testing, Computer Science - Robotics, Performance evaluation and benchmarking, simulation and animation, Human-aware motion planning, Robots, Robotics (cs.RO), Navigation

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2305.01303
https://hdl.handle.net/10433/23447

Sim-to-Real of Soft Robots With Learned Residual Physics

Autoren: Gao, Junpeng Michelis, Mike Yan Spielberg, Andrew et al.

Quelle: IEEE Robotics and Automation Letters, 9 (10)

Schlagwörter: Deep learning methods, modeling, control, and learning for soft robots, dynamics, optimization and optimal control, simulation and animation

Dateibeschreibung: application/application/pdf

Zugangs-URL: http://hdl.handle.net/20.500.11850/693964

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Autoren: Mayank Mittal Calvin Yu Qinxi Yu et al.

Quelle: IEEE Robotics and Automation Letters, 8 (6)
IEEE Robotics and Automation Letters

Schlagwörter: FOS: Computer and information sciences, Computer Science - Robotics, 0209 industrial biotechnology, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 02 engineering and technology, Software tools for benchmarking and reproducibility, machine learning for robot control, deep learning for visual perception, simulation and animation, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2301.04195
http://hdl.handle.net/20.500.11850/614030

A CoppeliaSim Dynamic Simulator for the Da Vinci Research Kit

Autoren: Marco Ferro Alessandro Mirante Fanny Ficuciello et al.

Quelle: IEEE Robotics and Automation Letters. 8:129-136

Schlagwörter: Simulation and animation, 0209 industrial biotechnology, 02 engineering and technology, calibration and identification, surgical robotics: laparoscopy, Surgical robotics, Robot dynamic model, Simulation, Robot-assisted minimally invasive surgery, da Vinci Surgical System

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11588/993729
https://hdl.handle.net/11588/993729
https://doi.org/10.1109/lra.2022.3222994

CARLA Simulator-Based Evaluation Framework Development of Lane Detection Accuracy Performance Under Sensor Blockage Caused by Heavy Rain for Autonomous Vehicle

Autoren: Hyeonjae Jeon YaeOhn Kim Minyoung Choi et al.

Quelle: IEEE Robotics and Automation Letters. 7:9977-9984

Schlagwörter: Performance evaluation and benchmarking, simulation and animation, rgbd perception

Simulation Aided Co-Design for Robust Robot Optimization

Autoren: Fadini, Gabriele Flayols, Thomas del Prete, Andrea et al.

Weitere Verfasser: Fadini, Gabriele Flayols, Thomas del Prete, Andrea et al.

Quelle: IEEE Robotics and Automation Letters. 7:11306-11313

Schlagwörter: 0209 industrial biotechnology, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Mechanism design, methods and tools for robot system design, optimization and optimal control, robust/adaptive control, simulation and animation, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, 02 engineering and technology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Dateibeschreibung: application/pdf

ReGAIL: Toward Agile Character Control From a Single Reference Motion

Autoren: Boursin, Paul Marius Kedadry, Yannis Zordan, Victor et al.

Weitere Verfasser: Boursin, Paul Marius Kedadry, Yannis Zordan, Victor et al.

Quelle: MIG '24: Proceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games ; MIG '24: The 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games ; https://hal.science/hal-04807545 ; MIG '24: The 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games, Nov 2024, Arlington VA USA, United States. ⟨10.1145/3677388.3696330⟩

Schlagwörter: Procedural animation, Adversarial learning, Learning from demonstrations character animation, Character animation, Physically-based simulation, Motion controller, Reinforcement learning, Generative Adversarial Imitation Learning, GAIL, CCS CONCEPTS Computing methodologies → Physical simulation Procedural animation Reinforcement learning Adversarial learning Learning from demonstrations character animation, motion controllers, CCS CONCEPTS, Computing methodologies → Physical simulation, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]

Geographisches Schlagwort: Arlington VA USA, United States

Time: Arlington VA USA, United States

Verfügbarkeit: https://hal.science/hal-04807545
https://hal.science/hal-04807545v1/document
https://hal.science/hal-04807545v1/file/ReGAIL__MIG_%20%282%29.pdf
https://doi.org/10.1145/3677388.3696330

A Simulation Framework for Magnetic Continuum Robots

Autoren: Roland Dreyfus Quentin Boehler Bradley J. Nelson

Quelle: IEEE Robotics and Automation Letters

Schlagwörter: Surgical Robotics: Steerable Catheters/Needles, Simulation and Animation, Modeling, Control, and Learning for Soft Robots, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Enabling the control of a new degree of freedom by using anisotropic material on a 6-DOF parallel soft robot

Autoren: Vanneste, Félix Goury, Olivier Duriez, Christian

Weitere Verfasser: Vanneste, Félix Goury, Olivier Duriez, Christian

Quelle: 2021 IEEE 4th International Conference on Soft Robotics (RoboSoft). :636-642

Schlagwörter: Kinematics, [SCCO.COMP] Cognitive science/Computer science, Additive Manufacturing, Simulation and Animation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], 0202 electrical engineering, electronic engineering, information engineering, Soft Robot Applications, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, 02 engineering and technology, Soft Robot Materials and Design

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.inria.fr/hal-03194087/file/ROBOSOFT_2021_2sc_submission.pdf
https://inria.hal.science/hal-03194087v1
https://dblp.uni-trier.de/db/conf/robosoft/robosoft2021.html#VannesteGD21
https://hal.inria.fr/hal-03194087/document
https://hal.inria.fr/hal-03194087

Learning keypoints for robotic cloth manipulation using synthetic data

Autoren: Lips, Thomas De Gusseme, Victor-Louis wyffels, Francis

Quelle: IEEE ROBOTICS AND AUTOMATION LETTERS ; ISSN: 2377-3766

Schlagwörter: Technology and Engineering, Robots, Synthetic data, Pipelines, Detectors, Semantics, Flexible printed circuits, Deformation, Data sets for robotic vision, deep learning for visual perception, simulation and animation

Dateibeschreibung: application/pdf

Relation: https://biblio.ugent.be/publication/01J14VDWRRM9GS9HQ9BS1PNBXT; https://doi.org/10.1109/LRA.2024.3405335; https://biblio.ugent.be/publication/01J14VDWRRM9GS9HQ9BS1PNBXT/file/01KAX271C33Q9VE1SADA06PP6G

Verfügbarkeit: https://biblio.ugent.be/publication/01J14VDWRRM9GS9HQ9BS1PNBXT
https://hdl.handle.net/1854/LU-01J14VDWRRM9GS9HQ9BS1PNBXT
https://doi.org/10.1109/LRA.2024.3405335
https://biblio.ugent.be/publication/01J14VDWRRM9GS9HQ9BS1PNBXT/file/01KAX271C33Q9VE1SADA06PP6G

Data-Driven Energy Estimation of Individual Instructions in User-Defined Robot Programs for Collaborative Robots

Autoren: Juan Heredia Christian Schlette Mikkel Baun Kjaergaard

Quelle: Heredia, J, Schlette, C & Kjaergaard, M B 2021, ' Data-Driven Energy Estimation of Individual Instructions in User-Defined Robot Programs for Collaborative Robots ', IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 6836-6843 . https://doi.org/10.1109/LRA.2021.3094781

Schlagwörter: 0209 industrial biotechnology, 0203 mechanical engineering, simulation and animation, 11. Sustainability, dynamics, Energy and environment-aware automation, 02 engineering and technology, calibration and identification, 7. Clean energy, formal methods in robotics and automation, 12. Responsible consumption

Zugangs-URL: https://portal.findresearcher.sdu.dk/en/publications/data-driven-energy-estimation-of-individual-instructions-in-user-
https://portal.findresearcher.sdu.dk/da/publications/70dfbe4e-8ac4-4305-a783-c0f18eb525a5
https://doi.org/10.1109/LRA.2021.3094781
https://portal.findresearcher.sdu.dk/da/publications/70dfbe4e-8ac4-4305-a783-c0f18eb525a5

Position-Based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery

Autoren: Alice Segato Chiara Di Vece Sara Zucchelli et al.

Quelle: IEEE Robotics and Automation Letters

Schlagwörter: Brain modeling, FOS: Computer and information sciences, Catheters, Simulation and Animation, Neurosurgery, Phantoms, Strain, Computer Science - Robotics, 03 medical and health sciences, Surgical Robotics: Steerable Catheters/Needles, 0302 clinical medicine, Surgical Robotics: Planning, Three-dimensional displays, Deformable models, Robotics (cs.RO)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/pdf/2106.10206
http://arxiv.org/abs/2106.10206
https://arxiv.org/abs/2106.10206
http://export.arxiv.org/pdf/2106.10206
https://ui.adsabs.harvard.edu/abs/2021arXiv210610206S/abstract
https://arxiv.org/pdf/2106.10206
https://ieeexplore.ieee.org/document/9457176
https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-10206
https://hdl.handle.net/11311/1203629
https://doi.org/10.1109/LRA.2021.3090016

Improving the learning of engineering students with interactive teaching applications

Autoren: Eduardo Corral Abad María J. Gómez García Efren Diez‐Jimenez et al.

Quelle: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Universidad Carlos III de Madrid (UC3M)

Schlagwörter: Ingeniería Mecánica, Educational game, Interactive application, Mobile learning, 4. Education, 05 social sciences, Computer simulation and animation, E-learning, 0503 education

Dateibeschreibung: application/pdf

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cae.22415
http://hdl.handle.net/10016/33714
https://doi.org/10.1002/cae.22415
https://hdl.handle.net/10016/33714
https://onlinelibrary.wiley.com/doi/10.1002/cae.22415
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cae.22415
https://doi.org/10.1002/cae.22415
https://dblp.uni-trier.de/db/journals/caee/caee29.html#CorralGDMS21