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Symmetry-aware Neural Architecture for Embodied Visual Navigation
The existing methods for addressing visual navigation employ deep reinforcement learning as the standard tool for the task. However, they tend to be...
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Visual semantic navigation with real robots
Visual Semantic Navigation (VSN) is the ability of a robot to learn visual semantic information for navigating in unseen environments. These VSN...
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Audio-Visual Navigation with Anti-Backtracking
Embodied navigation, which involves robotic agents exploring an unknown environment to reach target locations with egocentric observation, is a... -
Relation-wise transformer network and reinforcement learning for visual navigation
The task of object goal navigation is to drive an embodied agent to find the location of a given target only using visual observation. The mapping...
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Multi-modal scene graph inspired policy for visual navigation
Visual navigation needs the agent locate the given target with visual perception. To enable robots to effectively execute tasks, combining large...
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Towards real-time embodied AI agent: a bionic visual encoding framework for mobile robotics
Embodied artificial intelligence (AI) agents, which navigate and interact with their environment using sensors and actuators, are being applied for...
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Frontier-Enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation
We present a novel graph memory structure for navigation, called Frontier-enhanced Topological Memory (FTM). Most prior research primarily focuses on... -
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
Embodied visual tracking is to follow a target object in dynamic 3D environments using an agent’s egocentric vision. This is a vital and challenging... -
Visionary: vision-aware enhancement with reminding scenes generated by captions via multimodal transformer for embodied referring expression
Embodied referring expression (REVERIE) is a challenging task that requires an embodied agent to autonomously navigate in unseen environment and...
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Robustness of Embodied Point Navigation Agents
We make a step towards robust embodied AI by analyzing the performance of two successful Habitat Challenge 2021 agents under different visual... -
DGMem: learning visual navigation policy without any labels by dynamic graph memory
In recent years, learning-based approaches have demonstrated significant promise in addressing intricate navigation tasks. Traditional methods for...
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DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-Level Control
Building a general-purpose intelligent home-assistant agent skilled in diverse tasks by human commands is a long-term blueprint of embodied AI... -
Double Graph Attention Networks for Visual Semantic Navigation
Artificial Intelligence (AI) based on knowledge graphs has been invested in realizing human intelligence like thinking, learning, and logical...
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Active Perception for Visual-Language Navigation
Visual-language navigation (VLN) is the task of entailing an agent to carry out navigational instructions inside photo-realistic environments. One of...
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Brain-Inspired Visual Language Navigation Robot Position Deviation Correction
This research addresses the limitations of traditional visual and verbal navigation (VLN) tasks by introducing an innovative RFID-based,... -
MOVING: A MOdular and Flexible Platform for Embodied VIsual NaviGation
We present MOVING, a flexible and modular hardware and software platform for visual mapping and navigation in the real world. The platform comprises... -
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships
Embodied Artificial Intelligence has become popular in recent years. Its task shifts from focusing on internet images to active settings, involving...
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Embodied AI in education: A review on the body, environment, and mind
A key feature of embodied education is the participation of the learners’ body and mind with the environment. Yet, little work has been done to...
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LFENav: LLM-Based Frontiers Exploration for Visual Semantic Navigation
Robot navigation in an unknown environment is a challenge task, due to the lack of spatial awareness and semantic understanding of the environment.... -
ESceme: Vision-and-Language Navigation with Episodic Scene Memory
Vision-and-language navigation (VLN) simulates a visual agent that follows natural-language navigation instructions in real-world scenes. Existing...