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 ✕DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
Masoud Ataei, Vikas Dhiman
2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
Gautham Vasan, Yan Wang, Fahim Shahriar +3 more
2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani +6 more
2024
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
Christopher E. Mower, Yuhui Wan, Hongzhan Yu +17 more
2024
Stereo Vision Based Robot for Remote Monitoring with VR Support
Mohamed Fazil M. S., Arockia Selvakumar A., Daniel Schilberg
2024
Learning Pareto Set for Multi-Objective Continuous Robot Control
Tianye Shu, Ke Shang, Cheng Gong +2 more
2024
Autonomous Control of a Novel Closed Chain Five Bar Active Suspension via Deep Reinforcement Learning
Nishesh Singh, Sidharth Ramesh, Abhishek Shankar +3 more
2024
Multimodal Reaching-Position Prediction for ADL Support Using Neural Networks
Yutaka Takase, Kimitoshi Yamazaki
2024
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
2024
SUM: Saliency Unification through Mamba for Visual Attention Modeling
Alireza Hosseini, Amirhossein Kazerouni, Saeed Akhavan +2 more
2024
Reinforcement Learning via Auxiliary Task Distillation
Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna +2 more
2024
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction
Sariah Mghames, Luca Castri, Marc Hanheide +1 more
2024
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
Yuxin Chen, Chen Tang, Jianglan Wei +6 more
2024
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Bahlous-Boldi, Li Ding, Lee Spector +1 more
2024
Robust Reinforcement Learning from Corrupted Human Feedback
Alexander Bukharin, Ilgee Hong, Haoming Jiang +4 more
2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks
Alex Quach, Makram Chahine, Alexander Amini +2 more
2024
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics
Jiawei Gao, Ziqin Wang, Zeqi Xiao +7 more
2024
Deep Learning-Based 3D Instance and Semantic Segmentation: A Review
Siddiqui Muhammad Yasir, Hyunsik Ahn
2024
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
Miguel Vasco, Takuma Seno, Kenta Kawamoto +3 more
2024
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning
Dantong Niu, Yuvan Sharma, Giscard Biamby +5 more
2024
Online Context Learning for Socially Compliant Navigation
Iaroslav Okunevich, Alexandre Lombard, Tomas Krajnik +2 more
2024
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
2024
DRIP: Discriminative Rotation-Invariant Pole Landmark Descriptor for 3D LiDAR Localization
Dingrui Li, Dedi Guo, Kanji Tanaka
2024
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
Utsav Singh, Souradip Chakraborty, Wesley A. Suttle +3 more
2024