Robotics
2,420 papers
Papers per year
4
13
13
14
4
14
15
20
20
18
14
22
53
99
176
229
289
276
360
380
335
52
'5
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'25
Papers
AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning
AAAI 2026
Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
AAAI 2026
BiPreManip: Learning Affordance-Based Bimanual Preparatory Manipulation through Anticipatory Collaboration
CVPR 2026
CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
AAAI 2026
CAMAR: Continuous Actions Multi-Agent Routing
AAAI 2026
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint)
AAAI 2026
CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space
AAAI 2026
City of Light (COL): A City-Scale, Geo-Anchored Urban Simulator with High-Throughput Multi-Sensor Streams
AAAI 2026
Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy
AAAI 2026
CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning
AAAI 2026
Dexterous Manipulation Transfer via Progressive Kinematic-Dynamic Alignment
AAAI 2026
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
AAAI 2026
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis
AAAI 2026
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning
AAAI 2026
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
AAAI 2026
Efficient Robot Learning from Diverse Data
AAAI 2026
EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agents
CVPR 2026
End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint)
AAAI 2026
Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States
AAAI 2026
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
AAAI 2026
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
L4DC 2026
FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation
AAAI 2026
Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
CVPR 2026
GUI-G²: Gaussian Reward Modeling for GUI Grounding
AAAI 2026
Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction
WACV 2026