← Applications
Reinforcement Learning › Applications ›

Robotics

2069 directly classified papers

Papers per year

Papers

EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment ICCV 2025
Training-free Generation of Temporally Consistent Rewards from VLMs ICCV 2025
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning AAAI 2025
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract) AAAI 2025
Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions AAAI 2025
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial AAAI 2025
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets RSS 2025
Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning AAAI 2025
UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract) AAAI 2025
Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025
CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision RSS 2025
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining RSS 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025
MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data CVPR 2025
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models RSS 2025
FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation AAAI 2025
Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning ICCV 2025
EQA-RM: A Generative Embodied Reward Model with Test-time Scaling EMNLP 2025
Learning to Act Anywhere with Task-centric Latent Actions RSS 2025
Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning RSS 2025
Gait-Net-augmented Implicit Kino-dynamic MPC for Dynamic Variable-frequency Humanoid Locomotion over Discrete Terrains RSS 2025
AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection IJCAI 2025
Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey RSS 2025