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Visual Navigation
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Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.
Source: Vision-based Navigation Using Deep Reinforcement Learning
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage
NaviAgent: Bilevel Planning on Tool Dependency Graphs for Function Calling
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction
Enhancing Safety of Foundation Models for Visual Navigation through Collision Avoidance via Repulsive Estimation
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Movable-Element STARS-Assisted Near-Field Wideband Communications
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
Visual Planning: Let's Think Only with Images
Learning to Drive Anywhere with Model-Based Reannotation
Task-Oriented Communications for Visual Navigation with Edge-Aerial Collaboration in Low Altitude Economy
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering
Decision-based AI Visual Navigation for Cardiac Ultrasounds
NaviDiffusor: Cost-Guided Diffusion Model for Visual Navigation
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
The Composite Visual-Laser Navigation Method Applied in Indoor Poultry Farming Environments
A Survey on Mathematical Reasoning and Optimization with Large Language Models
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better
ViVa-SAFELAND: a New Freeware for Safe Validation of Vision-based Navigation in Aerial Vehicles
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Optimizing Minimum Vertex Cover Solving via a GCN-assisted Heuristic Algorithm
A Block-Based Heuristic Algorithm for the Three-Dimensional Nuclear Waste Packing Problem
A Map-free Deep Learning-based Framework for Gate-to-Gate Monocular Visual Navigation aboard Miniaturized Aerial Vehicles
Automatic Prompt Optimization via Heuristic Search: A Survey
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
High-precision visual navigation device calibration method based on collimator
Improving Collision-Free Success Rate For Object Goal Visual Navigation Via Two-Stage Training With Collision Prediction
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation
Enhancing Feature Tracking Reliability for Visual Navigation using Real-Time Safety Filter
VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Hardware Distortion Modeling for Panel Selection in Large Intelligent Surfaces
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
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