Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes
Sandeep Manjanna, Tom Z. Jiahao, M. Ani Hsieh
2023
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization
Mohamed-Amine Chadi, Hajar Mousannif
2023
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
Mohammad Khodadad, Morteza Rezanejad, Ali Shiraee Kasmaee +3 more
2023
Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot, Amy Zhang, Dhruv Batra +2 more
2023
Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation
Tong Zhao, Andrea Tagliabue, Jonathan P. How
2023
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Weirui Ye +2 more
2023
Robotic Packaging Optimization with Reinforcement Learning
Eveline Drijver, Rodrigo Pérez-Dattari, Jens Kober +2 more
2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives
Shunsuke Kitada
2023
CCL: Continual Contrastive Learning for LiDAR Place Recognition
Jiafeng Cui, Xieyuanli Chen
2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Tongzhou Mu, Hao Su
2023
Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh +2 more
2023
Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
Yuan Chen, Quecheng Qiu, Xiangyu Liu +5 more
2023
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
Donghwi Jung, Jae-Kyung Cho, Younghwa Jung +2 more
2023
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
Alessandro Navone, Mauro Martini, Simone Angarano +1 more
2023
A Survey of Demonstration Learning
André Correia, Luís A. Alexandre
2023
Recent Developments in Machine Learning Methods for Stochastic Control and Games
Ruimeng Hu, Mathieu Laurière
2023
Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning
Nat Wannawas, A. Aldo Faisal
2023
FindView: Precise Target View Localization Task for Look Around Agents
Haruya Ishikawa, Yoshimitsu Aoki
2023
RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback
Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar +6 more
2023
Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan +5 more
2023
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas Pierrot, Arthur Flajolet
2023
PDSketch: Integrated Planning Domain Programming and Learning
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum +1 more
2023
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Xintong Yang, Ze Ji, Jing Wu +1 more
2023