Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕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
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
GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders
Zhicheng Du, Chenyao Jiang, Xi Yuan +10 more
2023
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps
Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada
2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song +2 more
2023
Trajectory Tracking Control of Skid-Steering Mobile Robots with Slip and Skid Compensation using Sliding-Mode Control and Deep Learning
Payam Nourizadeh, Fiona J Stevens McFadden, Will N Browne
2023
Neural Metamaterial Networks for Nonlinear Material Design
Yue Li, Stelian Coros, Bernhard Thomaszewski
2023
Language-Conditioned Observation Models for Visual Object Search
Thao Nguyen, Vladislav Hrosinkov, Eric Rosen +1 more
2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics
Jiayang Song, Zhehua Zhou, Jiawei Liu +3 more
2023
A Reinforcement Learning Approach for Robotic Unloading from Visual Observations
Vittorio Giammarino, Alberto Giammarino, Matthew Pearce
2023
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks
Marwa Chafii, Salmane Naoumi, Reda Alami +3 more
2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models
Sumeet Singh, Stephen Tu, Vikas Sindhwani
2023