Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,673)
Clear ✕Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model
Jong-Wook Kim, Jin-Young Choi, Eun-Ju Ha
2023
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning
Yunlong Song, Ángel Romero, Matthias M. Müller +2 more
2023
Dynamic movement primitives in robotics: A tutorial survey
Matteo Saveriano, Fares J. Abu‐Dakka, Aljaž Kramberger +1 more
2023
Deep learning-based 3D point cloud classification: A systematic survey and outlook
Huang Zhang, Changshuo Wang, Shengwei Tian +4 more
2023
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga +3 more
2023
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
Shahnawaz Ahmad, Iman Shakeel, Shabana Mehfuz +1 more
2023
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
2023
Infrared and Visible Image Fusion Technology and Application: A Review
Weihong Ma, Kun Wang, Jiawei Li +4 more
2023
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao, Tianpei Yang, Hongyao Tang +5 more
2023
Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables
Shengshun Duan, Qiongfeng Shi, Jianlong Hong +6 more
2023
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
Li Zhang, Jian Zhang, Wenlian Gao +3 more
2023
A Novel Faster Fixed-Time Adaptive Control for Robotic Systems With Input Saturation
Zhuang Liu, Yue Zhao, Ouyang Zhang +4 more
2023
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing
Shenglin Wang, Jingqiong Zhang, Peng Wang +3 more
2023
Mineral Characterization Using Scanning Electron Microscopy (SEM): A Review of the Fundamentals, Advancements, and Research Directions
Asif Ali, Ning Zhang, Rafael M. Santos
2023
A Systematic Study on Reinforcement Learning Based Applications
Keerthana Sivamayilvelan, Belqasem Aljafari, Srete Nikolovski +2 more
2023
Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications
Sai Munikoti, Deepesh Agarwal, Laya Das +2 more
2023
Machine Intelligence and Autonomous Robotic Technologies in the Corporate Context of SMEs: Deep Learning and Virtual Simulation Algorithms, Cyber-Physical Production Networks, and Industry 4.0-Based Manufacturing Systems
Marek Nagy, George Lăzăroiu, Katarína Valášková
2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Zhanteng Xie, Philip Dames
2023
MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection
Wenbai Chen, Mengchen Liu, Chunjiang Zhao +2 more
2023
Deep learning based weed detection and target spraying robot system at seedling stage of cotton field
Xiangpeng Fan, Xiujuan Chai, Jianping Zhou +1 more
2023
Navigating to objects in the real world
Théophile Gervet, Soumith Chintala, Dhruv Batra +2 more
2023
Transformer-Based Imitative Reinforcement Learning for Multirobot Path Planning
Lin Chen, Yaonan Wang, Zhiqiang Miao +4 more
2023
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen +2 more
2023
High Resolution Point Clouds from mmWave Radar
Akarsh Prabhakara, Tao Jin, Arnav Das +6 more
2023