Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
Akhil Nagariya, Srikanth Saripalli
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
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki +2 more
2020
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Fanfei Chen, John D. Martin, Yewei Huang +2 more
2020
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
Jonas Tjomsland, Sinan Kalkan, Hatice Gunes
2020
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations
Jingyi Huang, Yizheng Zhang, Fabio Giardina +1 more
2020
Learning High-Level Policies for Model Predictive Control
Yunlong Song, Davide Scaramuzza
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
Building an Automated Gesture Imitation Game for Teenagers with ASD
Linda Nanan Vallée, Christophe Lohr, Sao Mai Nguyen +2 more
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
Falsification-Based Robust Adversarial Reinforcement Learning
Xiao Wang, Saasha Nair, Matthias Althoff
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
Interaction-limited Inverse Reinforcement Learning
Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban +2 more
2020
The Indigenous digital footprint
Hēmi Whaanga, Paora Mato
2020
Distributed multi‐agent deep reinforcement learning for cooperative multi‐robot pursuit
Chao Yu, Yinzhao Dong, Yangning Li +1 more
2020
Adaptive Dynamic Window Approach for Local Navigation
Matej Dobrevski, Danijel Skočaj
2020