Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks
Zhihong Liu, Yang Li, Rengming Huang +2 more
2026
Few-Shot Design Optimization by Exploiting Auxiliary Information
Arjun Mani, Carl Vondrick, Richard Zemel
2026
Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning
Xiang Liu, Sen Cui, Guocai Yao +4 more
2026
Empirical Study of Gaze Behavior in Children and Young Adults Using Deep Neural Networks and Robot Implementation: A Comparative Analysis of Social Situations
Ramtin Tabatabaei, Milad Hosseini, Ali Mohajerzarrinkelk +2 more
2026
CL API: Real-Time Closed-Loop Interactions with Biological Neural Networks
David Hogan, Andrew Doherty, Boon Kien Khoo +6 more
2026
The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMs
Jingdi Chen, Hanqing Yang, Zongjun Liu +1 more
2026
Defining causal mechanism in dual process theory and two types of feedback control
Yoshiyuki Ohmura, Yasuo Kuniyoshi
2026
EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits
Yilun Huang, Asal Mehradfar, Salman Avestimehr +1 more
2026
Can We Really Learn One Representation to Optimize All Rewards?
Chongyi Zheng, Royina Karegoudra Jayanth, Benjamin Eysenbach
2026
Human Preference Modeling Using Visual Motion Prediction Improves Robot Skill Learning from Egocentric Human Video
Mrinal Verghese, Christopher G. Atkeson
2026
Sample-Free Safety Assessment of Neural Network Controllers via Taylor Methods
Adam Evans, Roberto Armellin
2026
Interpretable Attention-Based Multi-Agent PPO for Latency Spike Resolution in 6G RAN Slicing
Kavan Fatehi, Mostafa Rahmani Ghourtani, Amir Sonee +4 more
2026
Deep Neural Network-Enhanced Frequency-Constrained Optimal Power Flow with Multi-Governor Dynamics
Fan Jiang, Xingpeng Li, Pascal Van Hentenryck
2026
Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries
Zhanyu Guo, Zikang Yin, Guobin Zhu +2 more
2026
Tuning the burn-in phase in training recurrent neural networks improves their performance
Julian D. Schiller, Malte Heinrich, Victor G. Lopez +1 more
2026
Anomaly Detection with Machine Learning Algorithms in Large-Scale Power Grids
Marc Gillioz, Guillaume Dubuis, Étienne Voutaz +1 more
2026
Dynamic Interference Management for TN-NTN Coexistence in the Upper Mid-Band
Pradyumna Kumar Bishoyi, Chia Chia Lee, Navid Keshtiarast +1 more
2026
Semi-Supervised Cross-Domain Imitation Learning
Li-Min Chu, Kai-Siang Ma, Ming-Hong Chen +1 more
2026
Exploring the impact of adaptive rewiring in Graph Neural Networks
Charlotte Cambier van Nooten, Christos Aronis, Yuliya Shapovalova +1 more
2026
Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
Runze Tang, Penny Sweetser
2026
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
Yuan Liu, Haoran Li, Shuai Tian +5 more
2026
Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes
Jie Feng, Yuanyuan Shi, Deepjyoti Deka
2026
Confounding Robust Continuous Control via Automatic Reward Shaping
Mateo Juliani, Mingxuan Li, Elias Bareinboim
2026
Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning
Ananya Trivedi, Anjian Li, Mohamed Elnoor +7 more
2026