Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,670)
Clear ✕Multi-Objective Optimal Trajectory Planning for Robotic Arms Using Deep Reinforcement Learning
Shaobo Zhang, Qinxiang Xia, Mingxing Chen +1 more
2023
Continuous Prediction of Human Joint Mechanics Using EMG Signals: A Review of Model-Based and Model-Free Approaches
Soumitra P. Sitole, Frank C. Sup
2023
A Transfer Learning Based Cross-Subject Generic Model for Continuous Estimation of Finger Joint Angles From a New User
Yucheng Long, Yanjuan Geng, Chenyun Dai +1 more
2023
A systematic review of artificial intelligence in managing climate risks of PPP infrastructure projects
Isaac Akomea-Frimpong, Jacinta Rejoice Ama Delali Dzagli, Kenneth Eluerkeh +6 more
2023
Optimization-Based Design and Control of Dynamic Systems
Vediyappan Govindan, J. Jayaprakash, Choonkil Park +2 more
2023
Norm-Based Finite-Time Convergent Recurrent Neural Network for Dynamic Linear Inequality
Linyan Dai, Yinyan Zhang, Guanggang Geng
2023
Path Planning for Autonomous Vehicles in Unknown Dynamic Environment Based on Deep Reinforcement Learning
Hui Hu, Yuge Wang, Wenjie Tong +2 more
2023
sEMG-Based End-to-End Continues Prediction of Human Knee Joint Angles Using the Tightly Coupled Convolutional Transformer Model
Tuanjie Liang, Ning Sun, Qiong Wang +6 more
2023
Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning
Wupeng Deng, Quan Liu, Duc Truong Pham +4 more
2023
An integrated control strategy for simultaneous robot assignment, tool change and preventive maintenance scheduling using Heterogeneous Graph Neural Network
Kshitij Bhatta, Qing Chang
2023
Multimodal fusion for autonomous navigation via deep reinforcement learning with sparse rewards and hindsight experience replay
Wendong Xiao, Liang Yuan, Teng Ran +3 more
2023
Adaptive memetic differential evolution-back propagation-fuzzy neural network algorithm for robot control
Kunming Zheng, Qiuju Zhang, Li Peng +1 more
2023
A Simple Self-Supervised IMU Denoising Method for Inertial Aided Navigation
Kaiwen Yuan, Z. Jane Wang
2023
Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
Kuljeet Singh, Deepti Malhotra
2023
A Novel Approach for Disaster Victim Detection Under Debris Environments Using Decision Tree Algorithms With Deep Learning Features
G. Seeja, Arockia Selvakumar Arockia Doss, V. Berlin Hency
2023
LocNDF: Neural Distance Field Mapping for Robot Localization
Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo +5 more
2023
Eye-Gaze Controlled Wheelchair Based on Deep Learning
Jun Xu, Zuning Huang, Liangyuan Liu +2 more
2023
Inclined magnetic force impact on cross nanoliquid flowing with widening shallow and heat generating by using artificial neural network (ANN)
Sadique Rehman, Salem Algarni, Mariam Imtiaz +6 more
2023
Leader–follower consensus control for a class of nonlinear multi-agent systems using dynamical neural networks
Filiberto Muñoz, José Manuel Valdovinos, Jorge Said Cervantes‐Rojas +2 more
2023
Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds
R. Hassan, Muhammad Moazam Fraz, Ashvini Alashetty G. G. Rajput +1 more
2023
Multipath Planning Acceleration Method With Double Deep R-Learning Based on a Genetic Algorithm
Elizabeth Palacios-Morocho, Saúl Inca, José F. Monserrat
2023
Incremental Machine Learning for Soft Pneumatic Actuators with Symmetrical Chambers
Yuriy Kozhubaev, Elena Ovchinnikova, Ivanov Viacheslav +1 more
2023
IR-MCL: Implicit Representation-Based Online Global Localization
Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino +3 more
2023
RL-TEE: Autonomous Probe Guidance for Transesophageal Echocardiography Based on Attention-Augmented Deep Reinforcement Learning
Keyu Li, Ang Li, Yangxin Xu +2 more
2023