Cascading Peer-Mentoring in the High School Computer Science Robotics Classroom: A Qualitative Multiple-Case Study

Συγγραφείς: Sima Ahmadi

Πηγή: Proceedings of the 2025 AERA Annual Meeting.

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

Improving Graduate Engineering Education through Communities of Practice Approach: Analysis of Implementation in Computer Science, Robotics, and Construction Engineering Courses

Συγγραφείς: Brayan Alexander Díaz, Collin F. Lynch, Kevin Han, Cesar Delgado

Πηγή: 2023 ASEE Annual Conference & Exposition Proceedings.

Θεματικοί όροι: Diversity

Περιγραφή αρχείου: application/pdf

Designing for dealing with drone dilemmas: ten trade-offs in unmanned aircraft systems' human systems integration

Συγγραφείς: Woltjer, Rogier, Author, Prem Maben, Rohith, Author, Woodlock, John, Author, Tyllström, Rikard, Author, van Zyl, Christo, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, School of Aviation, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för flyg och aeronautiska vetenskaper, 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

Συνεισφορές: Woltjer, Rogier, Author, Prem Maben, Rohith, Author, Woodlock, John, Author, Tyllström, Rikard, Author, van Zyl, Christo, Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, School of Aviation, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för flyg och aeronautiska vetenskaper, 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

Πηγή: Human systems integration in the design of complex transport systems. (1. ed.):265-281

Θεματικοί όροι: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Embedded Systems, Teknik, Elektroteknik och elektronik, Inbäddad systemteknik

A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming with Application to Robot Motion Planning

Συγγραφείς: Yi Yang 0049, Xuchen Wang, Richard M. Voyles, Xin Ma 0008

Πηγή: Tsinghua Science and Technology. 31:1610-1621

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

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2412.20477

Quest2ROS2: A ROS 2 Framework for Bi-manual VR Teleoperation

Συγγραφείς: Li, Jialong, Author, Wang, Zhenguo, Author, Wang, Tianci, Author, Stenmark, Maj, Author, Krueger, Volker, Author, 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, 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, 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, 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, LTH Profile areas, LTH Profile Area: Engineering Health, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Teknik för hälsa, 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: Li, Jialong, Author, Wang, Zhenguo, Author, Wang, Tianci, Author, Stenmark, Maj, Author, Krueger, Volker, Author, 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, 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, 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, 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, LTH Profile areas, LTH Profile Area: Engineering Health, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Teknik för hälsa, 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: HRI 2026 - Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction 21st ACM/IEEE International Conference on Human-Robot Interaction, HRI 2026. :1288-1292

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/10.1145/3757279.3788806

GeoSACS: Geometric Shared Autonomy via Canal Surfaces

Συγγραφείς: Shalutha Rajapakshe, Atharva Dastenavar, Michael Hagenow, Jean-Marc Odobez, Emmanuel Senft

Πηγή: Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction. :744-753

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

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2404.09584

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Συγγραφείς: Rongyu Zhang, Menghang Dong, Yuan Zhang 0020, Liang Heng, Xiaowei Chi, Gaole Dai, Li Du, Dan Wang 0002, Yuan Du, Shanghang Zhang

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 40:18764-18772

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/2503.20384

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations

Συγγραφείς: Bohan Zhou, Haoqi Yuan, Yuhui Fu 0004, Zongqing Lu 0002

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 40:28919-28927

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

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2410.02477

Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility

Συγγραφείς: Hao Jiang, Yixin Xu, Pradeep Varakantham

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 40:38653-38660

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/2503.08472

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage

Συγγραφείς: Haoyue Bai 0002, Guodong Chen 0002, Wangyang Ying, Xinyuan Wang 0011, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang 0003, Haifeng Chen, Yanjie Fu

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 40:14459-14466

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

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.18204

ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models

Συγγραφείς: Zirui Song, Guangxian Ouyang, Mingzhe Li 0001, Yuheng Ji, Chenxi Wang, Zixiang Xu, Zeyu Zhang, Xiaoqing Zhang 0017, Qian Jiang, Zhenhao Chen, Zhongzhi Li, Rui Yan 0001, Xiuying Chen

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 40:18558-18566

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

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.16517

Inferring Implicit Goals Across Differing Task Models

Συγγραφείς: Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed Chetouani, Sarath Sreedharan

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 40:17760-17768

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.17704

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

Vanilla Bayesian Optimization Performs Great in High Dimensions

Συγγραφείς: Hvarfner, Carl, Author, Hellsten, Erik O., Author, Nardi, Luigi, Author, 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 Science, Centre for Mathematical Sciences, Mathematics (Faculty of Engineering), Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematik LTH, 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

Συνεισφορές: Hvarfner, Carl, Author, Hellsten, Erik O., Author, Nardi, Luigi, Author, 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 Science, Centre for Mathematical Sciences, Mathematics (Faculty of Engineering), Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematik LTH, 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

Πηγή: Proceedings of Machine Learning Research Bayesian optimization across the spectrum of knowledge. 235:20793-20817

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

Σύνδεσμος πρόσβασης: https://proceedings.mlr.press/v235/hussain24a.html

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

Event-Aided Semantic Scene Completion

Συγγραφείς: Shangwei Guo, Hao Shi 0004, Song Wang 0019, Xiaoting Yin, Kailun Yang 0001, Kaiwei Wang

Πηγή: ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :12137-12141

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2502.02334

Self-Organizing Edge Computing Distribution Framework for Visual SLAM

Συγγραφείς: Jussi Kalliola, Lauri Suomela, Sergio Moreschini, David Hästbacka

Πηγή: IEEE Robotics and Automation Letters. 11:6328-6335

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Distributed, Parallel, and Cluster Computing (cs.DC), Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.08629

Advances in Hybrid Modular Climbing Robots: Design Principles and Refinement Strategies

Συγγραφείς: Ryan Poon, Ian W. Hunter

Πηγή: IEEE Robotics and Automation Letters. 11:6018-6025

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Robotics, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Robotics (cs.RO)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2503.07423