Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,949)
Clear ✕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
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
Kyle Stachowicz, Sergey Levine
2024
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén +1 more
2024
Gas Source Localization Using physics Guided Neural Networks
Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann +2 more
2024
Direct learning of home vector direction for insect-inspired robot navigation
Michiel Firlefyn, Jesse Hagenaars, Guido de Croon
2024
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Stone Tao, Arth Shukla, Tse-kai Chan +1 more
2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
2024
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
Zhanzhong Gu, Xiangjian He, Gengfa Fang +3 more
2024
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Murtaza Dalal, Tarun Chiruvolu, Devendra Chaplot +1 more
2024
IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Mandlekar, Caelan Garrett +2 more
2024
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
Andrej Orsula, Matthieu Geist, Miguel Olivares-Mendez +1 more
2024
Portfolio Management using Deep Reinforcement Learning
Ashish Anil Pawar, Vishnureddy Prashant Muskawar, Ritesh Tiku
2024
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani, Matthew E. Taylor
2024
Towards Generalist Robot Learning from Internet Video: A Survey
Robert McCarthy, Daniel C. H. Tan, Dominik Schmidt +5 more
2024
Numeric Reward Machines
Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis +2 more
2024