Robot Navigation
130 papers with code • 4 benchmarks • 14 datasets
The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.
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Latest papers with no code
Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks
While LLMs excel in processing text in these human conversations, they struggle with the nuances of verbal instructions in scenarios like social navigation, where ambiguity and uncertainty can erode trust in robotic and other AI systems.
Acoustic Local Positioning With Encoded Emission Beacons
In airborne system applications, acoustic positioning can be based on using opportunistic signals or sounds produced by the person or object to be located (e. g., noise from appliances or the speech from a speaker) or from encoded emission beacons (or anchors) specifically designed for this purpose.
Evaluation of Zadoff-Chu, Kasami and Chirp based encoding schemes for Acoustic Local Positioning Systems
The task of determining the physical coordinates of a target in indoor environments is still a key factor for many applications including people and robot navigation, user tracking, location-based advertising, augmented reality, gaming, emergency response or ambient assisted living environments.
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments
To this end, we propose a Gaussian Process (GP) based model for proactively detecting the risk of future motion planning failure.
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
In this paper, we present MultiSoc, a new method for learning multi-agent socially aware navigation strategies using RL.
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
In this paper, we propose a systematic relational reasoning approach with explicit inference of the underlying dynamically evolving relational structures, and we demonstrate its effectiveness for multi-agent trajectory prediction and social robot navigation.
Multi-Technique Sequential Information Consistency For Dynamic Visual Place Recognition In Changing Environments
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data.
Autonomous Navigation in Complex Environments
This paper explores the application of CNN-DNN network fusion to construct a robot navigation controller within a simulated environment.
Point Cloud in the Air
Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and augmented reality.
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
The Neural Network (NN), as a black-box function approximator, has been considered in many control and robotics applications.