Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,709)
Clear ✕LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
Dongge Han, Trevor McInroe, Adam Jelley +3 more
2024
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos +7 more
2024
Hierarchical place recognition with omnidirectional images and curriculum learning-based loss functions
Marcos Alfaro, Juan José Cabrera, María Flores +2 more
2024
Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy
Yu-Xin Zhang, Jie Gui, Baosheng Yu +4 more
2024
Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
Hanjiang Hu, Jianglin Lan, Changliu Liu
2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
Utsav Singh, Wesley A. Suttle, Brian M. Sadler +2 more
2024
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks
Zirui Zang, Ahmad Amine, Rahul Mangharam
2024
MAexp: A Generic Platform for RL-based Multi-Agent Exploration
Shaohao Zhu, Jiacheng Zhou, Anjun Chen +3 more
2024
A Soft e-Textile Sensor for Enhanced Deep Learning-based Shape Sensing of Soft Continuum Robots
Eric Vincent Galeta, Ayman A. Nada, Sabah M. Ahmed +2 more
2024
Following the Human Thread in Social Navigation
Luca Scofano, Alessio Sampieri, Tommaso Campari +4 more
2024
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
Fangwei Zhong, Kui Wu, Hai Ci +2 more
2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents
Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique
2024
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li +4 more
2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
Puze Liu, Haitham Bou-Ammar, Jan Peters +1 more
2024
NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT
Xinzhe Zheng, Sijie Ji, Yipeng Pan +2 more
2024
LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration
David Maranto
2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
Ali Younis, Erik Sudderth
2024
An Integrated Toolbox for Creating Neuromorphic Edge Applications
Lars Niedermeier, Jeffrey L. Krichmar
2024
TDANet: Target-Directed Attention Network For Object-Goal Visual Navigation With Zero-Shot Ability
Shiwei Lian, Feitian Zhang
2024
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
Mohannad Alhakami, Dylan R. Ashley, Joel Dunham +4 more
2024
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Lujie Yang, Hongkai Dai, Zhouxing Shi +3 more
2024
Offline Reinforcement Learning with Domain-Unlabeled Data
Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann +1 more
2024
Using Neural Networks to Model Hysteretic Kinematics in Tendon-Actuated Continuum Robots
Yuan Wang, Max McCandless, Abdulhamit Donder +4 more
2024
Learning Strategies For Successful Crowd Navigation
Rajshree Daulatabad, Serena Nath
2024