Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Agentic Reward Modeling: Verifying GUI Agent via Online Proactive Interaction
Chaoqun Cui, Jing Huang, Shijing Wang +3 more
2026
Learning-Based Signal Recovery in Nonlinear Systems with Spectrally Separated Interference
Jayadev Joy, Sundeep Rangan
2026
RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning
Yuexin Bian, Jie Feng, Tao Wang +3 more
2026
Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation
Runhua Zhang, Junyi Hou, Changxu Cheng +3 more
2026
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
Xidong Li, Mingyu Guo, Chenchao Xu +5 more
2026
Reinforcement Learning-Based Co-Design and Operation of Chiller and Thermal Energy Storage for Cost-Optimal HVAC Systems
Tanay Raghunandan Srinivasa, Vivek Deulkar, Aviruch Bhatia +1 more
2026
Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning
Tanay Raghunandan Srinivasa, Vivek Deulkar, Jia Bhargava +2 more
2026
Robust Rigid Body Assembly via Contact-Implicit Optimal Control with Exact Second-Order Derivatives
Christian Dietz, Sebastian Albrecht, Gianluca Frison +2 more
2026
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
Mathieu Petitbois, Rémy Portelas, Sylvain Lamprier
2026
RoboStriker: Hierarchical Decision-Making for Autonomous Humanoid Boxing
Kangning Yin, Zhe Cao, Wentao Dong +7 more
2026
Emergence of Physical Intelligence via Controllable Information Production
Tristan Shah, Stas Tiomkin
2026
Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data
Zhihao Zhang, Keith Redmill, Chengyang Peng +1 more
2026
Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing
Daniel Stein, Shaoyi Huang, Rolf Drechsler +2 more
2026
SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence
Saoud Aldowaish, Yashwanth Karumanchi, Kai-Chen Chiang +2 more
2026
Learning to Dial-a-Ride: A Deep Graph Reinforcement Learning Approach to the Electric Dial-a-Ride Problem
Sten Elling Tingstad Jacobsen, Attila Lischka, Balázs Kulcsár +1 more
2026
Advanced techniques and applications of LiDAR Place Recognition in Agricultural Environments: A Comprehensive Survey
Judith Vilella-Cantos, Mónica Ballesta, David Valiente +2 more
2026
Constrained Meta Reinforcement Learning with Provable Test-Time Safety
Tingting Ni, Maryam Kamgarpour
2026
BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections
Yuansheng Lian, Ke Zhang, Yaming Guo +2 more
2026
Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning
Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov +5 more
2026
Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter
Byeongjun Kim, H. Jin Kim
2026
Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed
Minjae Kwon, Josephine Lamp, Lu Feng
2026
Distributional Active Inference
Abdullah Akgül, Gulcin Baykal, Manuel Haußmann +2 more
2026
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
2026
Advancing Open-source World Models
Robbyant Team, Zelin Gao, Qiuyu Wang +17 more
2026