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Robotics

2,420 papers

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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