Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,670)
Clear ✕On the Generalization of Learned Structured Representations
Andrea Dittadi
2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Wenhao Lu, Xufeng Zhao, Sven Magg +3 more
2023
Contrastive Language, Action, and State Pre-training for Robot Learning
Krishan Rana, Andrew Melnik, Niko Sünderhauf
2023
Filter-Aware Model-Predictive Control
Baris Kayalibay, Atanas Mirchev, Ahmed Agha +2 more
2023
Transformer-Based Visual Segmentation: A Survey
Xiangtai Li, Henghui Ding, Haobo Yuan +6 more
2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar +2 more
2023
Evolving Constrained Reinforcement Learning Policy
Chengpeng Hu, Jiyuan Pei, Jialin Liu +1 more
2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno +3 more
2023
LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems
Michael Bidollahkhani, Ferhat Atasoy, Hamdan Abdellatef
2023
(LC)$^2$: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition
Alex Junho Lee, Seungwon Song, Hyungtae Lim +2 more
2023
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen +2 more
2023
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments
Felix Ott, Lucas Heublein, David Rügamer +2 more
2023
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents
Yash Shukla, Abhishek Kulkarni, Robert Wright +2 more
2023
Curriculum-Based Imitation of Versatile Skills
Maximilian Xiling Li, Onur Celik, Philipp Becker +3 more
2023
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach
Liqun Zhao, Konstantinos Gatsis, Antonis Papachristodoulou
2023
Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots
Hafiq Anas, Ong Wee Hong, Owais Ahmed Malik
2023
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang +7 more
2023
Quantitative Trading using Deep Q Learning
Soumyadip Sarkar
2023
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