Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson, Or Avner, Edward Groshev +1 more
2020
Autonomous robotic nanofabrication with reinforcement learning
Philipp Leinen, Malte Esders, Kristof T. Schütt +3 more
2020
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
Junjia Liu, Jiaying Shou, Zhuang Fu +5 more
2020
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"
Maria Tirindelli, Maria Victorova, Javier Esteban +4 more
2020
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
Iñigo Alonso, Luis Riazuelo, Luis Montesano +1 more
2020
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
Manuel Kaspar, Juan David Munoz Osorio, Jürgen Bock
2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo +1 more
2020
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi +1 more
2020
First Order Constrained Optimization in Policy Space
Yiming Zhang, Quan Vuong, Keith W. Ross
2020
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems
Sushmita Bhattacharya, Sahil Badyal, Thomas Wheeler +2 more
2020
Proficiency Constrained Multi-Agent Reinforcement Learning for Environment-Adaptive Multi UAV-UGV Teaming
Qifei Yu, Zhexin Shen, Yijiang Pang +1 more
2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning
Sha Luo, Hamidreza Kasaei, Lambert Schomaker
2020
A Novel Graph based Trajectory Predictor with Pseudo Oracle
Biao Yang, Guocheng Yan, Pin Wang +3 more
2020
Preventing Imitation Learning with Adversarial Policy Ensembles
Albert Zhan, Stas Tiomkin, Pieter Abbeel
2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning
Ryo Okumura, Masashi Okada, Tadahiro Taniguchi
2020
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
Stuart Eiffert, He Kong, Navid Pirmarzdashti +1 more
2020
Tractable Reinforcement Learning of Signal Temporal Logic Objectives
Harish Venkataraman, Derya Aksaray, Peter Seiler
2020
Following Instructions by Imagining and Reaching Visual Goals
John Kanu, Eadom Dessalene, Xiaomin Lin +2 more
2020
Lyceum: An efficient and scalable ecosystem for robot learning
Colin Summers, Kendall Lowrey, Aravind Rajeswaran +2 more
2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian +3 more
2020
Predicting the Physical Dynamics of Unseen 3D Objects
Davis Rempe, Srinath Sridhar, He Wang +1 more
2020
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
Kentaro Wada, Masaki Murooka, Kei Okada +1 more
2020
Closed-loop deep learning: generating forward models with back-propagation
Sama Daryanavard, Bernd Porr
2020
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces
Guido Schillaci, Antonio Pico Villalpando, Verena Vanessa Hafner +3 more
2020