Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,691)
Clear ✕Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators
Seyed Mo Mirvakili, Ehsan Haghighat, Douglas Sim
2023
Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
Zhenwei Niu, Lyes Saad Saoud, Irfan Hussain
2023
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
Shang Zhu, Bharath Ramsundar, Emil Annevelink +5 more
2023
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Finn Rietz, Erik Schaffernicht, Stefan Heinrich +1 more
2023
An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
Eisa Hedayati, Fatemeh Safari, George Verghese +4 more
2023
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
Yuyou Zhang, Yaru Niu, Xingyu Liu +1 more
2023
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma, Jialong Wu, Ningya Feng +5 more
2023
Adversarial Imitation Learning from Visual Observations using Latent Information
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
Xin Liu, Yaran Chen, Dongbin Zhao
2023
ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility
Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari +10 more
2023
HyperPPO: A scalable method for finding small policies for robotic control
Shashank Hegde, Zhehui Huang, Gaurav S. Sukhatme
2023
ACT2G: Attention-based Contrastive Learning for Text-to-Gesture Generation
Hitoshi Teshima, Naoki Wake, Diego Thomas +3 more
2023
Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration
Sapphira Akins, Frances Zhu
2023
Task-Oriented Koopman-Based Control with Contrastive Encoder
Xubo Lyu, Hanyang Hu, Seth Siriya +2 more
2023
Maximum diffusion reinforcement learning
Thomas A. Berrueta, Allison Pinosky, Todd D. Murphey
2023
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning
Pascal Klink, Florian Wolf, Kai Ploeger +2 more
2023
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network
Hao Cheng, Jiahang Cao, Erjia Xiao +2 more
2023
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
Haoyi Niu, Tianying Ji, Bingqi Liu +7 more
2023
Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor
Robin Göransson, Volker Krueger
2023
Learning to Recover for Safe Reinforcement Learning
Haoyu Wang, Xin Yuan, Qinqing Ren
2023
Orbital AI-based Autonomous Refuelling Solution
Duarte Rondao, Lei He, Nabil Aouf
2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time
Isak Meding, Alexander Bodin, Adam Tonderski +3 more
2023
Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
Tuba Girgin, Emre Ugur
2023
Explaining Agent Behavior with Large Language Models
Xijia Zhang, Yue Guo, Simon Stepputtis +2 more
2023