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 ✕Learning to Estimate System Specifications in Linear Temporal Logic using Transformers and Mamba
İlker Işık, Ebru Aydin Gol, Ramazan Gokberk Cinbis
2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya, Caleb Lee, Marissa D'Alonzo +3 more
2024
Hardware-Efficient EMG Decoding for Next-Generation Hand Prostheses
Mohammad Kalbasi, MohammadAli Shaeri, Vincent Alexandre Mendez +3 more
2024
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang, Meng Fang, Tristan Tomilin +2 more
2024
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu Luo, Tianying Ji, Fuchun Sun +3 more
2024
Causal Action Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica +1 more
2024
Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance
Arpita Soni, Sujatha Alla, Suresh Dodda +1 more
2024
Model-Based Diffusion for Trajectory Optimization
Chaoyi Pan, Zeji Yi, Guanya Shi +1 more
2024
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
Vitalis Vosylius, Younggyo Seo, Jafar Uruç +1 more
2024
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty +1 more
2024
Oracle-Efficient Reinforcement Learning for Max Value Ensembles
Marcel Hussing, Michael Kearns, Aaron Roth +2 more
2024
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
Hamid Taheri, Seyed Rasoul Hosseini, Mohammad Ali Nekoui
2024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu, Shengran Hu, Jeff Clune
2024
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality
Andrew Rosemberg, Alexandre Street, Davi M. Valladão +1 more
2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Chen-Hao Chao, Chien Feng, Wei-Fang Sun +3 more
2024
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Maximilian Nägele, Jan Olle, Thomas Fösel +2 more
2024
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator
Alejandro Linares-Barranco, Luciano Prono, Robert Lengenstein +2 more
2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
Yang Dai, Oubo Ma, Longfei Zhang +6 more
2024
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
Yusheng Jiao, Feng Ling, Sina Heydari +3 more
2024
Visual Episodic Memory-based Exploration
Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas +1 more
2024
No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation
Qiaoqiao Ren, Yuanbo Hou, Dick Botteldooren +1 more
2024
Neural Network Compression for Reinforcement Learning Tasks
Dmitry A. Ivanov, Denis A. Larionov, Oleg V. Maslennikov +1 more
2024
Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
Andrii Tytarenko
2024
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study
Tianpeng Zhang, Sekeun Kim, Jerome Charton +4 more
2024