ICRA 2026PastRoboticsReinforcement learning
IEEE ICRA 2026 Workshop on Cross-Disciplinary aspects of Exploration in Robotics, Reinforcement Learning and Search (Xplore)
IEEE ICRA 2026 Workshop Xplore
- Submission deadline
- Apr 30, 2026, 21:59 UTCOpenReview-synced 2026-04-30 21:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (26)
Fetched from OpenReview (v2) on 2026-06-10.
Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation
BEACON: Belief-Aware Replanning for Safe Online Motion Planning
Beyond Reactive Adaptation: Long-Horizon Memory for Autonomous Racing via State Space Models
CACTO-BIC: Scalable Actor-Critic Learning via Biased Sampling and GPU-Accelerated Trajectory Optimization
Coupling-Aware Planner Exploration for Shared-Workspace Multi-Manipulator Motion Planning
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
Efficient Rare-Event Sampling in Diffusion Policies for Motion Discovery
Exploration-Exploitation Prompting: A Dual-Process Framework for Complex Mathematical Problem Solving
Feasibility-Constrained Diffusion-MPC for Discrete Combinatorial Planning: A Case Study on Tetris
From Exploration to Reuse: An Embodied Agent Framework for Manipulation Skill Learning
From Simulation to Contact: A Modular Wrench-Space Deployment Stack for Multi-Task Robot Manipulation
GPS-Denied Rover Motion Regulation as a Physically Grounded POMDP for Recurrent Reinforcement Learning
Graph-Structured Reinforcement Learning for Controlling a Transformable-Wheel Robot
IFG: Internet-Scale Guidance for Functional Grasping Generation
Learning Temporally and State-Abstracted World Models for Long-Horizon Exploration
LLM-Guided Future Hypotheses for Horizon-Aware Exploration in Multi-Step Robot Manipulation
MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
Mobile robots exploration strategies and requirements: A systematic mapping study
Multi-Robot Frontier-Based Exploration under Uncertainty with SLAM and Temporal Map Fusion
Representation-Driven Exploration for Long-Horizon Manipulation
Stability-Guided Exploration for Diverse Motion Generation
Towards Semantic-Aware Active Gas Distribution Mapping in Unknown Cluttered Environments
Truncated Gaussian Policy for Debiased Exploration in Continuous Control
Variable-Resolution Virtual Map Guided Informed Tree Search for Autonomous USV Exploration
Variable-Resolution Virtual Maps for Autonomous Exploration with Unmanned Surface Vehicles (USVs)