Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,708)
Clear ✕LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models
Angus Fung, Beno Benhabib, Goldie Nejat
2024
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks
Qiyuan An, Christos Sevastopoulos, Fillia Makedon
2024
3D Gaussian as a New Era: A Survey
Ben Fei, Jingyi Xu, Rui Zhang +3 more
2024
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
Annie Wong, Jacob de Nobel, Thomas Bäck +2 more
2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang +9 more
2024
Knowledge-Centric Metacognitive Learning
Arun Kumar, Paul Schrater
2024
Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation
Dennis Hoftijzer, Gertjan Burghouts, Luuk Spreeuwers
2024
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning
Apoorva Vashisth, Julius Rückin, Federico Magistri +2 more
2024
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
Haoyi Niu, Jianming Hu, Guyue Zhou +1 more
2024
TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3 more
2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau, Nicolas Bredeche, Faïz Benamar +1 more
2024
An Architecture for Unattended Containerized (Deep) Reinforcement Learning with Webots
Tobias Haubold, Petra Linke
2024
Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation
Mario A. V. Saucedo, Akash Patel, Akshit Saradagi +2 more
2024
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen, Oier Mees, Aviral Kumar +1 more
2024
To the Max: Reinventing Reward in Reinforcement Learning
Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt
2024
Parametric-Task MAP-Elites
Timothée Anne, Jean-Baptiste Mouret
2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun +3 more
2024
Neural Policy Style Transfer
Raul Fernandez-Fernandez, Juan G. Victores, Jennifer J. Gago +2 more
2024
Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching
Raul Fernandez-Fernandez, Juan G. Victores, Carlos Balaguer
2024
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration
Daniele Cattaneo, Abhinav Valada
2024
LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization
Zhengtong Xu, Yu She
2024
EdgeOL: Efficient in-situ Online Learning on Edge Devices
Sheng Li, Geng Yuan, Yue Dai +10 more
2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking
Faraz Lotfi, Khalil Virji, Nicholas Dudek +1 more
2024
Effective Communication with Dynamic Feature Compression
Pietro Talli, Francesco Pase, Federico Chiariotti +2 more
2024