Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,670)
Clear ✕Unsupervised Deformable Ultrasound Image Registration and Its Application for Vessel Segmentation
FNU Abhimanyu, Andrew L. Orekhov, Ananya Bal +2 more
2023
Transferable Curricula through Difficulty Conditioned Generators
Sidney Tio, Pradeep Varakantham
2023
MP3: Movement Primitive-Based (Re-)Planning Policy
Fabian Otto, Hongyi Zhou, Onur Celik +3 more
2023
Concavity-Induced Distance for Unoriented Point Cloud Decomposition
Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan +2 more
2023
Learning Space-Time Semantic Correspondences
Du Tran, Jitendra Malik
2023
Granger Causal Interaction Skill Chains
Caleb Chuck, Kevin Black, Aditya Arjun +2 more
2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Haohong Lin +8 more
2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker, Guanya Shi, Kevin Jamieson
2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
Mohammadhossein Malmir, Josip Josifovski, Noah Klarmann +1 more
2023
Evolutionary Curriculum Training for DRL-Based Navigation Systems
Max Asselmeier, Zhaoyi Li, Kelin Yu +1 more
2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov +1 more
2023
Explaining CLIP through Co-Creative Drawings and Interaction
Varvara Guljajeva, Mar Canet Solà, Isaac Joseph Clarke
2023
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning
Sha Luo, Lambert Schomaker
2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan +1 more
2023
PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay P. Namboodiri
2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
Franck Djeumou, Cyrus Neary, Ufuk Topcu
2023
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle +5 more
2023
Value function estimation using conditional diffusion models for control
Bogdan Mazoure, Walter Talbott, Miguel Angel Bautista +3 more
2023
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow
Risheek Garrepalli, Jisoo Jeong, Rajeswaran C Ravindran +2 more
2023
Exploring the effects of robotic design on learning and neural control
Joshua Paul Powers
2023
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta +1 more
2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji, Yu Luo, Fuchun Sun +3 more
2023
Data Quality in Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh
2023
Evaluating Continual Learning on a Home Robot
Sam Powers, Abhinav Gupta, Chris Paxton
2023