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检索条件"机构=Department of Robotics Engineering and Computer Science"
2959 条 记 录,以下是61-70 订阅
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Comparative Analysis of Reinforcement Learning Techniques in Simulated robotics Environments  7
Comparative Analysis of Reinforcement Learning Techniques in...
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7th International Conference on Intelligent robotics and Control engineering, IRCE 2024
作者: Yoseph, Abey Tanveer, M. Hassan Voicu, Razvan Cristian Shahid, M. Farrukh Kennesaw State University Department of Robotics & Mechatronics Engineering MariettaGA United States National University of Computer and Emerging Sciences Department of Ai and Data Science Karachi Pakistan
Machine learning is a critical component of artificial intelligence and computer science that uses data and algorithms to emulate the way that humans learn and predict. Reinforcement learning, one of the many forms of... 详细信息
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RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Multi-DNN Inference  30
RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Mul...
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30th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2024
作者: Kang, Woosung Lee, Jinkyu Lee, Youngmoon Oh, Sangeun Lee, Kilho Chwa, Hoon Sung DGIST Dept. of Electrical Engineering and Computer Science Korea Republic of Dept. of Computer Science and Engineering Korea Republic of Hanyang University Dept. of Robotics Korea Republic of Ajou University Department of Software and Computer Engineering Korea Republic of School of AI Convergence Soongsil University Korea Republic of
The increasing complexity and memory demands of Deep Neural Networks (DNNs) for real-Time systems pose new significant challenges, one of which is the GPU memory capacity bottleneck, where the limited physical memory ... 详细信息
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Scanning the Issue
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IEEE Transactions on Intelligent Transportation Systems 2024年 第7期25卷 6251-6275页
作者: Simona Sacone Department of Computer Science Bioengineering Robotics and Systems Engineering University of Genova Genova Italy
The authors provide a meta-review across nearly 100 extant surveys on unmanned aerial vehicles (UAVs) applications and overview papers, extract their key messages, and investigate the extent of being complementary. Ba...
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Online 3D Deformable Object Classification for Mobile Cobot Manipulation  56
Online 3D Deformable Object Classification for Mobile Cobot ...
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56th International Symposium on robotics, ISR Europe 2023
作者: Nguyen, Khang Dang, Tuan Huber, Manfred Learning and Adaptive Robotics Laboratory Department of Computer Science and Engineering University of Texas at Arlington ArlingtonTX76013 United States
Vision-based object manipulation in assistive mobile cobots essentially relies on classifying the target objects based on their 3D shapes and features, whether they are deformed or not. In this work, we present an aut... 详细信息
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Reactive Multi-agent Coordination using Auction-based Task Allocation and Behavior Trees
Reactive Multi-agent Coordination using Auction-based Task A...
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2023 IEEE Conference on Control Technology and Applications, CCTA 2023
作者: Dahlquist, Niklas Lindqvist, Bjorn Saradagi, Akshit Nikolakopoulos, George Luleå University of Technology Robotics and Ai Group Department of Computer Science Electrical and Space Engineering LuleåSE-97187 Sweden
This article presents an architecture for multi-agent task allocation and task execution, through the unification of a market-inspired task-auctioning system with Behavior Trees for managing and executing lower level ... 详细信息
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Drone-Based Predictive Structure Analysis: A Review
Drone-Based Predictive Structure Analysis: A Review
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2023 International Conference on Sustainable Emerging Innovations in engineering and Technology, ICSEIET 2023
作者: Patil, Trushant Nandan, Durgesh Sharma, Kanhaiya Parashar, Deepak Department of Robotics and Automation Pune India Department of Electronics and Telecommunication Engg. Pune India Department of Computer Science & Engineering Pune India Faculty of Engineering Pune India
Drone-based predictive structure analysis is a rapidly growing field that has the potential to revolutionize infrastructure and building inspection. In this review of the research, we give a general overview of how dr... 详细信息
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Robust STL Control Synthesis under Maximal Disturbance Sets  63
Robust STL Control Synthesis under Maximal Disturbance Sets
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63rd IEEE Conference on Decision and Control, CDC 2024
作者: Verhagen, Joris Lindemann, Lars Tumova, Jana Kth Royal Institute of Technology Division of Robotics Perception and Learning School of Electrical Engineering and Computer Science Stockholm Sweden University of Southern California Thomas Lord Department of Computer Science Los AngelesCA United States
This work addresses maximally robust control synthesis under unknown disturbances. We consider a nonlinear system, subject to a Signal Temporal Logic (STL) specification and jointly synthesize the maximal possible dis... 详细信息
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Edge AI-Driven Video Analytics: A Mobile Deep Learning Framework for Victim Detection in SAR robotics  3
Edge AI-Driven Video Analytics: A Mobile Deep Learning Frame...
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3rd FORTEI-International Conference on Electrical engineering, FORTEI-ICEE 2024
作者: Ihsan, Muhammad Putra, Karisma Trinanda Mustar, Muhamad Yusvin Setyawan, Aufa Faiz Chu, Hsueh-Ting Chen, Hsing-Chung Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Bantul Indonesia Department of Electrical Engineering Center of Artificial Intelligence and Robotics Studies Universitas Muhammadiyah Yogyakarta Bantul Indonesia Department of Computer Science and Information Engineering Asia University Taichung Taiwan
In post-disaster search and rescue (SAR) missions, it is crucial for robots to distinguish between actual victims and dummy objects, despite their similar characteristics. Edge video analytics have demonstrated except... 详细信息
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Contact-Rich Task Learning on an Articulated Soft Robot Arm Through Simulation  25th
Contact-Rich Task Learning on an Articulated Soft Robot Ar...
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25th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2024
作者: Elstner, Laurenz Kyrkjebø, Erik Stoelen, Martin F. Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Førde Norway Fieldwork Robotics Ltd. Cambridge United Kingdom
Traditional rigid robots face limitations in exploration during learning processes in dynamic and unknown environments where contact and impacts are common. Soft robots that leverage compliant materials, for example a... 详细信息
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Intelligent Deep Learning Enabled Human Activity Recognition for Improved Medical Services
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computer Systems science & engineering 2023年 第2期44卷 961-977页
作者: E.Dhiravidachelvi M.Suresh Kumar L.D.Vijay Anand D.Pritima Seifedine Kadry Byeong-Gwon Kang Yunyoung Nam Department of Electronics and Communication Engineering Mohamed Sathak A.J.College of EngineeringChennai603103India Department of Information Technology Sri Sairam Engineering CollegeChennai602109India Department of Robotics Engineering Karunya Institute of Technology and SciencesCoimbatore641114India Department of Mechatronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Deparmtent of Applied Data Science Noroff University CollegeKristiansandNorway Department of Information and Communication Engineering Soonchunhyang UniversityAsanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea
Human Activity Recognition(HAR)has been made simple in recent years,thanks to recent advancements made in Artificial Intelligence(AI)*** techniques are applied in several areas like security,surveillance,healthcare,hum... 详细信息
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