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Found 5 papers, 1 papers with code
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
In this paper, we introduce a novel approach that integrates uncertainty-aware spatiotemporal graph learning and model-based state estimation for a team of robots to collaboratively localize objects.
Simultaneous View and Feature Selection for Collaborative Multi-Robot Perception
In this paper, we propose a novel approach to collaborative multi-robot perception that simultaneously integrates view selection, feature selection, and object recognition into a unified regularized optimization formulation, which uses sparsity-inducing norms to identify the robots with the most representative views and the modalities with the most discriminative features.
Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition
Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration.
Space-Time Representation of People Based on 3D Skeletal Data: A Review
Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area.
