Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,709)
Clear ✕Imitation Learning Using Gaussian Mixture Models and Dynamic Movement Primitives for Rehabilitation Exoskeletons: A Comparison
Beatrice Luciani, Simone Costante, Francesco Braghin +2 more
2024
Tracking Error Constraints and Integral Guidance Mechanisms-Based Antidisturbance Path-Tracking Control for a Robotic Fish
Dongfang Li, Linlin Zeng, Edmond Q. Wu +2 more
2024
A Review on Fire and Smoke Detection With Intelligent Control for Enhanced Safety Using Machine Learning (ML) and Internet of Things (IoT)
Amey G Medewar, Ankush D. Sawarkar, Utkarsh v Kshirsagar
2024
Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches
Gabriele Ciravegna, Franco Galante, Danilo Giordano +2 more
2024
Stabilization for a Class of Partially Observable Uncertain Fractional-Order Nonlinear Systems With Time-Varying Delays and Disturbance
Xin Ma, Haiyan H. Zhang, Richard M. Voyles
2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
Simon Guist, Hao Ma, Le Chen +8 more
2024
Spotlight commentary: Integrating artificial intelligence in clinical pharmacology: Opportunities, challenges and ethical imperatives
Karlo Petković, Zdeslav Strika, Robert Likić +1 more
2024
Autonomous Guidewire Navigation in Dynamic Environments
Valentina Scarponi, François Lecomte, Michel Duprez +2 more
2024
Automatic elimination of invalid impact-echo signals for detecting delamination in concrete bridge decks based on deep learning
Shibin Lin, Liang Meng, Guochen Zhao +4 more
2024
Mobile Robot Collision Avoidance Based on Deep Reinforcement Learning With Motion Constraints
Yuting Tao, Peng Lu
2024
Analog Printed Spiking Neuromorphic Circuit
Priyanjana Pal, Haibin Zhao, Maha Shatta +5 more
2024
Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments
Felix Ott, Lucas Heublein, David Rügamer +2 more
2024
CNS: Correspondence Encoded Neural Image Servo Policy
Anzhe Chen, Hongxiang Yu, Yue Wang +1 more
2024
ReLAQA: Reinforcement Learning-Based Autonomous Quantum Agent for Quantum Applications
Ahmad Alomari, Sathish Kumar
2024
Comparative Analysis of Deep Learning Models for Optimal EEG-Based Real-Time Servo Motor Control
Dimitris Angelakis, Errikos C. Ventouras, Spiros Kostopoulos +1 more
2024
A Structure Modality Enhanced Multimodal Imaging Method for Electrical Impedance Tomography Pressure Distribution Measurement
Huaijin Chen, Zhanwei Wang, Kevin Langlois +2 more
2024
Integration of LLMs and the Physical World: Research and Application
Xiaoyu Luo, Daping Liu, Fan Dang +1 more
2024
InnateCoder: Learning Programmatic Options with Foundation Models
2024
Super-resolution for Gas Distribution Mapping
Nicolas P. Winkler, Oleksandr Kotlyar, Erik Schaffernicht +4 more
2024
Information Sharing for Cooperative Robots via Multi-Agent Reinforcement Learning
Ayesha Siddiqua, Siming Liu, Razib Iqbal +3 more
2024
Deep learning neural network-assisted badminton movement recognition and physical fitness training optimization
Min Zhang
2024
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection
Xinghao Zhu, Devesh K. Jha, Diego Romeres +3 more
2024
Goal-Oriented Semantic Communications for Robotic Waypoint Transmission: The Value and Age of Information Approach
Yuanqing Yang, Yansha Deng, A.H. Aghvami
2024
Exploring Markov Decision Processes: A Comprehensive Survey of Optimization Applications and Techniques
Khan Qazi Waqas
2024