Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Low Dimensional State Representation Learning with Reward-shaped Priors
Nicolò Botteghi, Ruben Obbink, Daan Geijs +5 more
2020
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
Yu Yao, Ella Atkins, Matthew Johnson-Roberson +2 more
2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
Masashi Okada, Tadahiro Taniguchi
2020
Multi-camera Torso Pose Estimation using Graph Neural Networks
Daniel Rodriguez-Criado, Pilar Bachiller, Pablo Bustos +2 more
2020
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
Yoshiki Masuyama, Yoshiaki Bando, Kohei Yatabe +3 more
2020
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
Christos Kyrkou
2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations
Jingyi Huang, Yizheng Zhang, Fabio Giardina +1 more
2020
Multi-Principal Assistance Games
Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell +1 more
2020
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
Aditya M. Deshpande, Rumit Kumar, Ali A. Minai +1 more
2020
Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs
Hengli Wang, Yuxiang Sun, Ming Liu
2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Xuan Di, Rongye Shi
2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis, Elliot Creager, Animesh Garg
2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
Matteo Lucchi, Friedemann Zindler, Stephan Mühlbacher-Karrer +1 more
2020
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger +2 more
2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
2020
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
Richa Verma, Aniruddha Singhal, Harshad Khadilkar +5 more
2020
Predicting Sample Collision with Neural Networks
Tuan Tran, Jory Denny, Chinwe Ekenna
2020
Needle tip force estimation by deep learning from raw spectral OCT data
M. Gromniak, N. Gessert, T. Saathoff +1 more
2020
A Simple Domain Shifting Networkfor Generating Low Quality Images
Guruprasad Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota +2 more
2020
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network
Stuart Eiffert, Kunming Li, Mao Shan +3 more
2020
PICO: Primitive Imitation for COntrol
Corban G. Rivera, Katie M. Popek, Chace Ashcraft +3 more
2020
Object Tracking through Residual and Dense LSTMs
Fabio Garcea, Alessandro Cucco, Lia Morra +1 more
2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Aleksei Petrenko, Zhehui Huang, Tushar Kumar +2 more
2020
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives
Junpei Zhong, Angelo Cangelosi, Stefan Wermter
2020