Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕World Models as an Intermediary between Agents and the Real World
Sherry Yang
2026
On the Equilibrium between Feasible Zone and Uncertain Model in Safe Exploration
Yujie Yang, Zhilong Zheng, Shengbo Eben Li
2026
Model-Based Data-Efficient and Robust Reinforcement Learning
Ludvig Svedlund, Constantin Cronrath, Jonas Fredriksson +1 more
2026
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