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 ✕Enabling the Sense of Self in a Dual-Arm Robot
Ali AlQallaf, Gerardo Aragon-Camarasa
2020
A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning
Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode +2 more
2020
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
Geoffrey Clark, Joseph Campbell, Heni Ben Amor
2020
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
Minghao Han, Yuan Tian, Lixian Zhang +2 more
2020
DANAE: a denoising autoencoder for underwater attitude estimation
Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi
2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
Jiajun Fan, He Ba, Xian Guo +1 more
2020
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie, Dylan P. Losey, Ryan Tolsma +2 more
2020
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot
Jonas Gonzalez-Billandon, Lukas Grasse, Matthew Tata +2 more
2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis +2 more
2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
Hsiao-Yu Fish Tung, Zhou Xian, Mihir Prabhudesai +2 more
2020
Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning
Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji
2020
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Hao Wen, Xiongjie Chen, Georgios Papagiannis +2 more
2020
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen +2 more
2020
Generation of Human-aware Navigation Maps using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Luis J. Manso
2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh
2020
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Shuijing Liu, Peixin Chang, Weihang Liang +2 more
2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni, Harshit Sikchi, Yufei Wang +3 more
2020
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization
M. Tuluhan Akbulut, Utku Bozdogan, Ahmet Tekden +1 more
2020
Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments
Lizi Wang, Hongkai Ye, Qianhao Wang +3 more
2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Jonas Tebbe, Lukas Krauch, Yapeng Gao +1 more
2020
LBGP: Learning Based Goal Planning for Autonomous Following in Front
Payam Nikdel, Richard Vaughan, Mo Chen
2020
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet
Jinglun Feng, Liang Yang, Ejup Hoxha +3 more
2020
Learning a Decentralized Multi-arm Motion Planner
Huy Ha, Jingxi Xu, Shuran Song
2020
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning
Shantam Shorewala, Armaan Ashfaque, Sidharth R +1 more
2020