Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,884)
Clear ✕Tutor-Bot: A Question-Answering Educational Robot Based on Deep Learning
Li‐Chen Cheng, Judy C. R. Tseng
2024
A Near-Infrared Imaging System for Robotic Venous Blood Collection
Zhikang Yang, Mao Shi, Yassine Gharbi +6 more
2024
A multi-physical coupling NURBS-based isogeometric analysis for nonlinear electrodynamics of three-directional poroelastic functionally graded circular nanoplate: Introducing deep neural network algorithm for nonlinear electrodynamics problems
JingLong Gao, Lei Chang, Haitham A. Mahmoud
2024
A Dual‐Mode Robot‐Assisted Plate Implantation Method for Femoral Shaft Fracture
Yanchao Guo, Yimiao Chen, Xianzheng Zhou +3 more
2024
Robotic Skill Acquisition in Peg-in-hole Assembly Tasks Based on Deep Reinforcement Learning
Peng Tu, Zihao Sun, Yuxuan Gao +3 more
2024
ClusVPR: Efficient Visual Place Recognition With Clustering-Based Weighted Transformer
Pourya Shamsolmoali, Masoume Zareapoor
2024
Semantic scene understanding on 3D point clouds
Shichao Dong
2024
Mimicking Associative Learning of Rats via a Neuromorphic Robot in Open Field Maze Using Spatial Cell Models
Tianze Liu, Md Abu Bakr Siddique, Hongyu An
2024
Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms
Sheila Schoepp, Mehran Taghian, Shotaro Miwa +3 more
2024
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro +3 more
2024
Application of Deep Reinforcement Learning (DRL) in the ROS Platform in Autonomous Navigation Decision Making of Unmanned Vehicles
Xin Gao, Shaojia Yuan, Jiazheng Zhu +1 more
2024
Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient
Tongzhou Jiang, Lipeng Liu, Junyue Jiang +3 more
2024
Understanding Human Motion Intention from Motor Imagery Eeg Based on Convolutional Neural Network
Soroush Zare, Ye Sun
2024
Scaling Laws for Pre-training Agents and World Models
Tim Pearce, Tabish Rashid, Dave Bignell +3 more
2024
Evolution of Reinforcement Learning: From Q-Learning to Deep
Sai Teja Boppiniti
2024
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied, Thomas Adler, Vihang Patil +6 more
2024
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
Chen Tang, Ben Abbatematteo, Jiaheng Hu +3 more
2024
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems
Zhehua Zhou, Jiayang Song, Xuan Xie +2 more
2024
Deep Reinforcement Learning in Robotics and Autonomous Systems
Uma Yadav, Shweta V. Bondre, Bhakti Thakre
2024
Learning-based Multi-View Stereo: A Survey
Fangjinhua Wang, Qingtian Zhu, Di Chang +5 more
2024
Equivariant Reinforcement Learning under Partial Observability
Hai V. Nguyen, Andrea Baisero, David Klee +3 more
2024
Curriculum Design and Sim2Real Transfer for Reinforcement Learning in Robotic Dual-Arm Assembly
Konstantin Wrede, Sebastian Zarnack, Robert R. Lange +3 more
2024
Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks
Elad Harel, Md. Ataur Rahman, Md. Shahjahan +2 more
2024
Intelligent Systems and Robotics for Wastewater Management Across India
Kishore Kumar Reddy, P. Yashashwini Reddy, Marlia M. Hanafiah +1 more
2024