Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Stephane Doncieux, Nicolas Bredeche, Léni Le Goff +9 more
2020
Making Robots Draw A Vivid Portrait In Two Minutes
Fei Gao, Jingjie Zhu, Zeyuan Yu +2 more
2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems
Alexis Asseman, Nicolas Antoine, Ahmet S. Ozcan
2020
ST-MNIST -- The Spiking Tactile MNIST Neuromorphic Dataset
Hian Hian See, Brian Lim, Si Li +4 more
2020
DeepRacing: Parameterized Trajectories for Autonomous Racing
Trent Weiss, Madhur Behl
2020
The computerization of archaeology: survey on AI techniques
Lorenzo Mantovan, Loris Nanni
2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker +1 more
2020
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers +1 more
2020
RMM: A Recursive Mental Model for Dialog Navigation
Homero Roman Roman, Yonatan Bisk, Jesse Thomason +2 more
2020
Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong +1 more
2020
Towards Embodied Scene Description
Sinan Tan, Huaping Liu, Di Guo +2 more
2020
First return, then explore
Adrien Ecoffet, Joost Huizinga, Joel Lehman +2 more
2020
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image
Aniket Pokale, Aditya Aggarwal, K. Madhava Krishna
2020
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
Suneel Belkhale, Rachel Li, Gregory Kahn +3 more
2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
Shangtong Zhang, Bo Liu, Shimon Whiteson
2020
Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis, Minjian Xin, Dilip Arumugam +2 more
2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Keting Lu, Shiqi Zhang, Xiaoping Chen
2020
Structured Mechanical Models for Robot Learning and Control
Jayesh K. Gupta, Kunal Menda, Zachary Manchester +1 more
2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Mohammad Reza Loghmani, Luca Robbiano, Mirco Planamente +3 more
2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
Fatai Sado, Chu Kiong Loo, Wei Shiung Liew +2 more
2020
Boosting Deep Open World Recognition by Clustering
Dario Fontanel, Fabio Cermelli, Massimiliano Mancini +3 more
2020
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning
Nibraas Khan, Joshua Phillips
2020
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning
Ayberk Aydın, Elif Surer
2020
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation
Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macêdo +2 more
2020