Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,949)
Clear ✕Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing
Luca Marzari, Gabriele Roncolato, Alessandro Farinelli
2023
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization
Takuya Hiraoka
2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR
Jaeuk Shin, Giho Kim, Howon Lee +2 more
2023
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
Yiwen Lu, Zishuo Li, Yihan Zhou +2 more
2023
GSGFormer: Generative Social Graph Transformer for Multimodal Pedestrian Trajectory Prediction
Zhongchang Luo, Marion Robin, Pavan Vasishta
2023
Personalized Pose Forecasting
Maria Priisalu, Ted Kronvall, Cristian Sminchisescu
2023
A Q-learning approach to the continuous control problem of robot inverted pendulum balancing
Mohammad Safeea, Pedro Neto
2023
PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation
Geonhyup Lee, Joosoon Lee, Sangjun Noh +3 more
2023
Implicit Learning of Scene Geometry from Poses for Global Localization
Mohammad Altillawi, Shile Li, Sai Manoj Prakhya +2 more
2023
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher Diehl, Tobias Klosek, Martin Krüger +3 more
2023
Multimodal Speech Emotion Recognition Using Modality-specific Self-Supervised Frameworks
Rutherford Agbeshi Patamia, Paulo E. Santos, Kingsley Nketia Acheampong +3 more
2023
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning
Cyrus Neary, Christian Ellis, Aryaman Singh Samyal +2 more
2023
Spectral Temporal Contrastive Learning
Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou +1 more
2023
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
Emma Cramer, Jonas Reiher, Sebastian Trimpe
2023
Domain Adaptive Imitation Learning with Visual Observation
Sungho Choi, Seungyul Han, Woojun Kim +3 more
2023
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning
Dohyeong Kim, Songhwai Oh
2023
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk
Dohyeong Kim, Songhwai Oh
2023
Redefining Recon: Bridging Gaps with UAVs, 360 degree Cameras, and Neural Radiance Fields
Hartmut Surmann, Niklas Digakis, Jan-Nicklas Kremer +3 more
2023
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation
Xijia Zhang, Yue Guo, Simon Stepputtis +2 more
2023
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Noémie Jaquier, Michael C. Welle, Andrej Gams +6 more
2023
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
Yu Zheng, Guangming Wang, Jiuming Liu +2 more
2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
Jun Wang, Hosein Hasanbeig, Kaiyuan Tan +2 more
2023
ROSO: Improving Robotic Policy Inference via Synthetic Observations
Yusuke Miyashita, Dimitris Gahtidis, Colin La +2 more
2023
Visual Semantic Navigation with Real Robots
Carlos Gutiérrez-Álvarez, Pablo Ríos-Navarro, Rafael Flor-Rodríguez +2 more
2023