[ICML2026] ACTIVE-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO
-
Updated
Apr 30, 2026
[ICML2026] ACTIVE-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO
This repository provides the source code for the paper Reinforcement Learning for Active Perception in Autonomous Navigation.
A Python library for Robotic Information Gathering
Official implementation of Matcha-agent, https://arxiv.org/abs/2303.08268
Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
The code release of "Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning" paper, ICAART 2021
Official code release for our paper 'APPLE: Toward General Active Perception via Reinforcement Learning'.
[EMNLP 2026] Agentic Visual Perception for Long-Document Understanding
An active vision system on the PR2 humanoid robot to dynamically detect objects via the head and arm cameras
Learning Underwater Active Perception in Simulation
🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.
The webpage for Matcha-agent project.
Minimal Python robotics examples for planning, manipulation, active perception, and embodied AI. No ROS, GPU, or heavy simulator.
GitHub profile for Muhammed Elyamani: structure-aware planning, active sensing, mobile manipulation, SLAM, and robotics control.
Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming
Real-time Uncertainty-Aware Motion Planning for Magnetic-based Navigation (InfoMagNav)
NeRF-SLAM-oriented neural mapping lab for camera rays, sigma-density learning, opacity/depth rendering, and robotics perception experiments.
Energy-based active acquisition of task-aligned driving information channels with a shared generative latent state.
Resource-aware multimodal scene understanding with view selection for efficient captioning and QA.
Active evidence assurance for warehouse robots: verify, repair, and gate perception before motion on AMD Radeon and ROCm.
Add a description, image, and links to the active-perception topic page so that developers can more easily learn about it.
To associate your repository with the active-perception topic, visit your repo's landing page and select "manage topics."