Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas, Pierre Fournier, Olivier Sigaud +2 more
2018
Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder
Meenakshi Sarkar, Debasish Ghose
2018
Online Visual Robot Tracking and Identification using Deep LSTM Networks
Hafez Farazi, Sven Behnke
2018
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations
Maxime Devanne, Sao Mai Nguyen
2018
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Alex Olsen, Dmitry A. Konovalov, Bronson Philippa +10 more
2018
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
Zhanpeng He, Ryan Julian, Eric Heiden +5 more
2018
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation
Duanshun Li, Chen Feng
2018
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
2018
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Jianwei Yang, Jiasen Lu, Stefan Lee +2 more
2018
Robot Representation and Reasoning with Knowledge from Reinforcement Learning
Keting Lu, Shiqi Zhang, Peter Stone +1 more
2018
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images
Yuval Litvak, Armin Biess, Aharon Bar-Hillel
2018
Learning Navigation Behaviors End-to-End with AutoRL
Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser +1 more
2018
Human-Machine Interface for Remote Training of Robot Tasks
Jordi Spranger, Roxana Buzatoiu, Athanasios Polydoros +2 more
2018
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez +4 more
2018
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller +2 more
2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan +2 more
2018
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
Berta Bescos, José Neira, Roland Siegwart +1 more
2018
OxIOD: The Dataset for Deep Inertial Odometry
Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu +3 more
2018
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
Jack Turner, José Cano, Valentin Radu +3 more
2018
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm
Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, Rezoana Bente Arif +1 more
2018
Object-sensitive Deep Reinforcement Learning
Yuezhang Li, Katia Sycara, Rahul Iyer
2018
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
Jian-Qing Zheng, Xiao-Yun Zhou, Celia Riga +1 more
2018
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
2018
Socially Aware Kalman Neural Networks for Trajectory Prediction
Ce Ju, Zheng Wang, Xiaoyu Zhang
2018