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Robotics

2069 directly classified papers

Papers per year

Papers

DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients AAAI 2026

Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026

Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems AAAI 2026

Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026

RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion AAAI 2026

CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning AAAI 2026

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping WACV 2026

Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis AAAI 2026

PhyPlan: Learning to Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation AAAI 2026

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward AAAI 2026

TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning AAAI 2026

CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space 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

Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction WACV 2026

Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control WACV 2026

PointNet4D: A Lightweight 4D Point Cloud Video Backbone for Online and Offline Perception in Robotic Applications WACV 2026

RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation AAAI 2026

Dexterous Manipulation Transfer via Progressive Kinematic-Dynamic Alignment AAAI 2026

Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation AAAI 2026

FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation AAAI 2026

Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026

Object-Centric Latent Action Learning 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