Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process
Akifumi Wachi, Hiroshi Kajino, Asim Munawar
2018
Can a Compact Neuronal Circuit Policy be Re-purposed to Learn Simple Robotic Control?
Ramin Hasani, Mathias Lechner, Alexander Amini +2 more
2018
Comparing Computing Platforms for Deep Learning on a Humanoid Robot
Alexander Biddulph, Trent Houlistion, Alexandre Mendes +1 more
2018
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Hanqing Wang, Jiaolong Yang, Wei Liang +1 more
2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning
Xiaofan Yu, Runze Yu, Jingsong Yang +1 more
2018
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Paul-Edouard Sarlin, Frédéric Debraine, Marcin Dymczyk +2 more
2018
Convolutional Neural Network for Trajectory Prediction
Nishant Nikhil, Brendan Tran Morris
2018
Car Monitoring System in Apartment Garages by Small Autonomous Car using Deep Learning
Leonardo León, Felipe Moreno-Vera, Renato Castro +2 more
2018
Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots
Moa Lee, Joon Hyuk Chang
2018
Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks
Chie Hieida, Takato Horii, Takayuki Nagai
2018
Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing
Noha Radwan, Wolfram Burgard, Abhinav Valada
2018
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
Songle Chen, Lintao Zheng, Yan Zhang +2 more
2018
Shared Multi-Task Imitation Learning for Indoor Self-Navigation
Junhong Xu, Qiwei Liu, Hanqing Guo +3 more
2018
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Abhinav Valada, Rohit Mohan, Wolfram Burgard
2018
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning
Wenhan Luo, Peng Sun, Fangwei Zhong +3 more
2018
Parsing Geometry Using Structure-Aware Shape Templates
Vignesh Ganapathi-Subramanian, Olga Diamanti, Soeren Pirk +3 more
2018
Learning Actionable Representations from Visual Observations
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch +1 more
2018
Egocentric Spatial Memory
Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen +3 more
2018
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots
Xin Ye, Zhe Lin, Haoxiang Li +2 more
2018
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration
Tingguang Li, Jin Pan, Delong Zhu +1 more
2018
Semantically Meaningful View Selection
Joris Guérin, Olivier Gibaru, Eric Nyiri +2 more
2018
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Francisco Cruz, German I. Parisi, Stefan Wermter
2018
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks
Andrew Spek, Thanuja Dharmasiri, Tom Drummond
2018
ClusterNet: 3D Instance Segmentation in RGB-D Images
Lin Shao, Ye Tian, Jeannette Bohg
2018