Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov +3 more
2020
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang, Pieter Abbeel, Lerrel Pinto
2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
Eivind Meyer, Amalie Heiberg, Adil Rasheed +1 more
2020
The Sample Complexity of Teaching-by-Reinforcement on Q-Learning
Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma +2 more
2020
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention
Anh Nguyen, Dennis Kundrat, Giulio Dagnino +7 more
2020
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
Nitin J. Sanket, Chahat Deep Singh, Cornelia Fermüller +1 more
2020
Graph Neural Networks for Motion Planning
Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar +1 more
2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao, Yancheng Pan, Chengkun Li +2 more
2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo +2 more
2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
2020
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments
Hartmut Surmann, Christian Jestel, Robin Marchel +3 more
2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network
Takazumi Matsumoto, Jun Tani
2020
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering
Guang Chen, Shiwen Shen, Longyin Wen +2 more
2020
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy
Diego Aghi, Vittorio Mazzia, Marcello Chiaberge
2020
Learning visual servo policies via planner cloning
Ulrich Viereck, Kate Saenko, Robert Platt
2020
Learning Camera Miscalibration Detection
Andrei Cramariuc, Aleksandar Petrov, Rohit Suri +3 more
2020
Polarimetric image augmentation
Marc Blanchon, Olivier Morel, Fabrice Meriaudeau +2 more
2020
LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
2020
Learning and Reasoning for Robot Dialog and Navigation Tasks
Keting Lu, Shiqi Zhang, Peter Stone +1 more
2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization
Peter Karkus, Anelia Angelova, Vincent Vanhoucke +1 more
2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Cong Fei, Bin Wang, Yuzheng Zhuang +5 more
2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Alessia Bertugli, Simone Calderara, Pasquale Coscia +2 more
2020
A Distributional View on Multi-Objective Policy Optimization
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever +7 more
2020