Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Addressing the Sim2Real Gap in Robotic 3D Object Classification
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
2019
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
Wenbo Zhang, Osbert Bastani, Vijay Kumar
2019
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair, Shikhar Bahl, Alexander Khazatsky +3 more
2019
Learning Resilient Behaviors for Navigation Under Uncertainty
Tingxiang Fan, Pinxin Long, Wenxi Liu +3 more
2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Xingyu Liu, Mengyuan Yan, Jeannette Bohg
2019
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making -- A Review
Leonardo A. Espinosa Leal, Magnus Westerlund, Anthony Chapman
2019
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning
Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim
2019
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Yijiong Lin, Jiancong Huang, Matthieu Zimmer +2 more
2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
Ashish Kumar, Toby Buckley, John B. Lanier +3 more
2019
Toward 3D Object Reconstruction from Stereo Images
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3 more
2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
Huazhe Xu, Boyuan Chen, Yang Gao +1 more
2019
Dynamic Attention Networks for Task Oriented Grounding
Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri
2019
Deep learning for Aerosol Forecasting
Caleb Hoyne, S. Karthik Mukkavilli, David Meger
2019
Federated Transfer Reinforcement Learning for Autonomous Driving
Xinle Liang, Yang Liu, Tianjian Chen +2 more
2019
Model-based Behavioral Cloning with Future Image Similarity Learning
Alan Wu, AJ Piergiovanni, Michael S. Ryoo
2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals
Yizheng Zhang, Andre Rosendo
2019
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
Mustafa Mukadam, Ching-An Cheng, Dieter Fox +2 more
2019
Higher Order Function Networks for View Planning and Multi-View Reconstruction
Selim Engin, Eric Mitchell, Daewon Lee +2 more
2019
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2019
Zero Shot Learning on Simulated Robots
Robert Kwiatkowski, Hod Lipson
2019
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
Johannes Ackermann, Volker Gabler, Takayuki Osa +1 more
2019
Global visual localization in LiDAR-maps through shared 2D-3D embedding space
Daniele Cattaneo, Matteo Vaghi, Simone Fontana +2 more
2019