no code implementations • 21 Dec 2023 • Peng Gao, Ahmed Jaafar, Brian Reily, Christopher Reardon, Hao Zhang
However, visual observations of an object may not be available when it is referred to, and the number of objects and attributes may also be unbounded in open worlds.
no code implementations • 5 Nov 2021 • Peng Gao, Brian Reily, Rui Guo, HongSheng Lu, Qingzhao Zhu, Hao Zhang
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.
no code implementations • 17 Dec 2020 • Brian Reily, Hao Zhang
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.
no code implementations • 26 Mar 2020 • Brian Reily, Qingzhao Zhu, Christopher Reardon, Hao Zhang
Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration.
1 code implementation • 5 Jan 2016 • Fei Han, Brian Reily, William Hoff, Hao Zhang
Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area.