A unified framework for real-time failure handling in robotics using vision-language models, reactive planner and behavior trees

Συγγραφείς: Ahmad, Faseeh, Author, Ismail, Hashim, Author, Styrud, Jonathan, Author, Stenmark, Maj, Author, Krueger, Volker, Author, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Συνεισφορές: Ahmad, Faseeh, Author, Ismail, Hashim, Author, Styrud, Jonathan, Author, Stenmark, Maj, Author, Krueger, Volker, Author, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Θεματικοί όροι: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Robotics and automation, Teknik, Elektroteknik och elektronik, Robotik och automation, Natural Sciences, Computer and Information Sciences, Computer Sciences, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datavetenskap (Datalogi), Computer graphics and computer vision, Datorgrafik och datorseende

Σύνδεσμος πρόσβασης: https://doi.org/10.48550/arXiv.2503.15202

Lessons Learned: The Evolution of an Undergraduate Robotics Course in Computer Science

Συγγραφείς: Salas, R. Pito

Θεματικοί όροι: Computer Science - Robotics, K.3.2

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2404.18012

GPify: leveraging the combined strength of normalizing flow and softmax for an out-of-distribution aware confidence score

Συγγραφείς: Kristoffersson Lind, Simon, Author, Triebel, Rudolph, Author, Krueger, Volker, Author, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator

Συνεισφορές: Kristoffersson Lind, Simon, Author, Triebel, Rudolph, Author, Krueger, Volker, Author, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator

Πηγή: International Journal of Computer Vision Uncertainty estimation for adaptable and reliable robotic vision. 134

Θεματικοί όροι: Natural Sciences, Computer and Information Sciences, Computer graphics and computer vision, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datorgrafik och datorseende

Σύνδεσμος πρόσβασης: https://link.springer.com/article/10.1007/s11263-026-02794-3

Computer Science Applied to Architecture: Multidimensional Architecture of Information: E xpanding Systems of Representation and Computational Signifiers from Big Data, Simulation, and Robotics activating Artificial Intelligence.

Συγγραφείς: Lorenzo-Eiroa, Pablo

Συνεισφορές: University/Department: Universitat Internacional de Catalunya. Departament d'Arquitectura

Thesis Advisors: Estévez Escalera, Alberto, Meier, Alexis

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: Architecture, Information, Computational Design, Big Data, Robotics, Materials, AI (Artificial Intelligence), Multidimensionality, Proyectos arquitectónicos

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10803/675513

Re-purposing a modular origami manipulator into an adaptive physical computer for machine learning and robotic perception

Συγγραφείς: Wang, Jun, Li, Suyi

Θεματικοί όροι: Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.02744

Inclusive STEAM Education: A Framework for Teaching Cod-2 ing and Robotics to Students with Visually Impairment Using 3 Advanced Computer Vision

Συγγραφείς: Hamash, Mahmoud, Khan, Md Raqib, Tiernan, Peter

Θεματικοί όροι: Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2503.16482

Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan

Συγγραφείς: Cooper, Andrew I., Courtney, Patrick, Darvish, Kourosh, Eckhoff, Moritz, Fakhruldeen, Hatem, Gabrielli, Andrea, Garg, Animesh, Haddadin, Sami, Harada, Kanako, Hein, Jason, Hübner, Maria, Knobbe, Dennis, Pizzuto, Gabriella, Shkurti, Florian, Shrestha, Ruja, Thurow, Kerstin, Vescovi, Rafael, Vogel-Heuser, Birgit, Wolf, Ádám, Yoshikawa, Naruki, Zeng, Yan, Zhou, Zhengxue, Zwirnmann, Henning

Θεματικοί όροι: Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.06847

Neurofeedback-Driven 6-DOF Robotic Arm: Integration of Brain-Computer Interface with Arduino for Advanced Control

Συγγραφείς: Satam, Ihab A., Szabolcsi, Róbert

Θεματικοί όροι: Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control, 93C41

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2410.22008

A C++ Implementation of a Cartesian Impedance Controller for Robotic Manipulators

Συγγραφείς: Mayr, Matthias, Author, Salt Ducaju, Julian, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Automatic Control, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för reglerteknik, Originator

Συνεισφορές: Mayr, Matthias, Author, Salt Ducaju, Julian, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Automatic Control, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för reglerteknik, Originator

Πηγή: Journal of Open Source Software Learning with Skill-based Robot Systems. 9(93):5194-5200

Θεματικοί όροι: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Robotics and automation, Teknik, Elektroteknik och elektronik, Robotik och automation

Σύνδεσμος πρόσβασης: https://doi.org/10.21105/joss.05194

Cyborg Insect Factory: Automatic Assembly System to Build up Insect-computer Hybrid Robot Based on Vision-guided Robotic Arm Manipulation of Custom Bipolar Electrodes

Συγγραφείς: Lin, Qifeng, Vuong, Nghia, Song, Kewei, Tran-Ngoc, Phuoc Thanh, Nonato, Greg Angelo Gonzales, Sato, Hirotaka

Θεματικοί όροι: Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2411.13164

Robotic Optimization of Powdered Beverages Leveraging Computer Vision and Bayesian Optimization

Συγγραφείς: Szymanska, Emilia, Hughes, Josie

Θεματικοί όροι: Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2409.11499

Lessons Learned: The Evolution of an Undergraduate Robotics Course in Computer Science

Συγγραφείς: R. Pito Salas

Πηγή: Lecture Notes in Networks and Systems ISBN: 9783031670589

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, 4. Education, Robotics (cs.RO), K.3.2

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2404.18012

Variable impedance skill learning for contact-rich manipulation

Συγγραφείς: Yang, Quantao, Author, Dürr, Alexander, Author, Topp, Elin Anna, Author, Stork, Johannes, Author, Stoyanov, Todor, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator

Συνεισφορές: Yang, Quantao, Author, Dürr, Alexander, Author, Topp, Elin Anna, Author, Stork, Johannes, Author, Stoyanov, Todor, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator

Πηγή: IEEE Robotics and Automation Letters. 7(3):8391-8398

Θεματικοί όροι: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Control Engineering, Teknik, Elektroteknik och elektronik, Reglerteknik, Robotics and automation, Robotik och automation, Natural Sciences, Computer and Information Sciences, Computer graphics and computer vision, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datorgrafik och datorseende

Σύνδεσμος πρόσβασης: https://doi.org/10.1109/LRA.2022.3187276

Improving Robotic Arms through Natural Language Processing, Computer Vision, and Edge Computing

Συγγραφείς: Sikorski, Pascal, Yu, Kaleb, Billadeau, Lucy, Esposito, Flavio, AliAkbarpour, Hadi, Babaiasl, Madi

Θεματικοί όροι: Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2405.17665

Uncertainty estimation for adaptable and reliable robotic vision

Συγγραφείς: Kristoffersson Lind, Simon, Author, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Krueger, Volker

Συνεισφορές: Kristoffersson Lind, Simon, Author, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Krueger, Volker

Θεματικοί όροι: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Computer Vision and learning System, Teknik, Elektroteknik och elektronik, Datorseende och lärande system

Περιγραφή αρχείου: electronic

Σύνδεσμος πρόσβασης: https://lucris.lub.lu.se/ws/files/248764827/thesis.pdf

Improving Robotic Arms Through Natural Language Processing, Computer Vision, and Edge Computing

Συγγραφείς: Sikorski, Pascal, Yu, Kaleb, Billadeau, Lucy, Esposito, Flavio, AliAkbarpour, Hadi, Babaiasl, Madi

Πηγή: 2025 3rd International Conference on Mechatronics, Control and Robotics (ICMCR). :35-41

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2405.17665

Intelligent Robotic Control System Based on Computer Vision Technology

Συγγραφείς: Che, Chang, Zheng, Haotian, Huang, Zengyi, Jiang, Wei, Liu, Bo

Θεματικοί όροι: Computer Science - Robotics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2404.01116

Uncertainty quantification metrics for deep regression

Συγγραφείς: Kristoffersson Lind, Simon, Author, Xiong, Ziliang, Author, Forssén, Per Erik, Author, Krüger, Volker, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator

Συνεισφορές: Kristoffersson Lind, Simon, Author, Xiong, Ziliang, Author, Forssén, Per Erik, Author, Krüger, Volker, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator

Πηγή: Pattern Recognition Letters Uncertainty estimation for adaptable and reliable robotic vision. 186:91-97

Θεματικοί όροι: Natural Sciences, Computer and Information Sciences, Naturvetenskap, Data- och informationsvetenskap (Datateknik)

Σύνδεσμος πρόσβασης: https://doi.org/10.1016/j.patrec.2024.09.011

MANIPDREAMER: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance

Συγγραφείς: Ying Li 0128, Xiaobao Wei, Xiaowei Chi, Yuming Li, Zhongyu Zhao, Hao Wang 0073, Ningning Ma, Ming Lu 0002, Shanghang Zhang

Πηγή: ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :12027-12031

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2504.16464

DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications

Συγγραφείς: Nimal, Nillan, Li, Wenbin, Clark, Ronald, Saeedi, Sajad

Θεματικοί όροι: Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2402.11836