Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,574)
Clear ✕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
3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors
David Lonsdale, Li Zhang, Richard Jiang
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
Robotic Self-Assessment of Competence
Gertjan J. Burghouts, Albert Huizing, Mark A. Neerincx
2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
2020
RMM: A Recursive Mental Model for Dialog Navigation
Homero Roman Roman, Yonatan Bisk, Jesse Thomason +2 more
2020
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
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
Plan-Space State Embeddings for Improved Reinforcement Learning
Max Pflueger, Gaurav S. Sukhatme
2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea +2 more
2020
First return, then explore
Adrien Ecoffet, Joost Huizinga, Joel Lehman +2 more
2020
Evolutionary Stochastic Policy Distillation
Hao Sun, Xinyu Pan, Bo Dai +2 more
2020
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
Issa Annamoradnejad, Gohar Zoghi
2020
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image
Aniket Pokale, Aditya Aggarwal, K. Madhava Krishna
2020
Towards Differentiable Resampling
Michael Zhu, Kevin Murphy, Rico Jonschkowski
2020
Guiding Robot Exploration in Reinforcement Learning via Automated Planning
Yohei Hayamizu, Saeid Amiri, Kishan Chandan +2 more
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