Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕Spectral deep learning for prediction and prospective validation of functional groups
Jonathan Fine, Anand A. Rajasekar, Krupal P. Jethava +1 more
2020
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
Julien Champ, Adán Mora-Fallas, Hervé Goëau +3 more
2020
Graph weeds net: A graph-based deep learning method for weed recognition
Kun Hu, Guy Coleman, Shan Zeng +2 more
2020
Machine Learning Based Nutrient Deficiency Detection in Crops
A.I. Urrea T, T Gokulalakshmi, P. Uma Maheswari
2020
A hopfield neural network-based Bouc-Wen model for magnetic shape memory alloy actuator
Yifan Wang, Chen Zhang, Zhongshi Wu +2 more
2020
Human Action Recognition and Assessment Via Deep Neural Network Self-Organization
German I. Parisi
2020
Emotion brain-computer interface using wavelet and recurrent neural networks
Esmeralda C. Djamal, Hamid Fadhilah, Asep Najmurrokhman +2 more
2020
Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks
Τheofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou +4 more
2020
Pathological Airway Segmentation with Cascaded Neural Networks for Bronchoscopic Navigation
Hanxiao Zhang, Mali Shen, Pallav L. Shah +1 more
2020
Falsification-Based Robust Adversarial Reinforcement Learning
Xiao Wang, Saasha Nair, Matthias Althoff
2020
Asynchronous Deep Model Reference Adaptive Control
Girish Joshi, Jasvir Virdi, Girish Chowdhary
2020
Observer-Based H Tracking Control Scheme and Its Application to Robot Arms
Shunchao Zhang, Bo Zhao, Derong Liu +1 more
2020
Tractable Reinforcement Learning of Signal Temporal Logic Objectives
Harish K. Venkataraman, Derya Aksaray, Peter Seiler
2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian +3 more
2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware
Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos
2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
2020
A Distributional View on Multi-Objective Policy Optimization
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever +7 more
2020
Robust Reinforcement Learning using Adversarial Populations
Eugene Vinitsky, Yuqing Du, Kanaad Parvate +3 more
2020
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie, Dylan P. Losey, Ryan Tolsma +2 more
2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
Hsiao-Yu Fish Tung, Mihir Prabhudesai, Shamit Lal +1 more
2020
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary +1 more
2020
A Survey on Deep Learning Methods for Semantic Image Segmentation in\n Real-Time
Georgios Takos
2020
Rapid 2D Positioning of Multiple Complex Objects for Pick and Place Application Using Convolutional Neural Network
Petr Doležel, Dominik Štursa, Daniel Honc
2020
A DNN-based semantic segmentation for detecting weed and crop
Jie You, Wei Liu, Joonwhoan Lee
2020