1 citations · 1 across the 6 of their papers we have counts for
6 papers
Beyond Amplitude: Channel State Information Phase-Aware Deep Fusion for Robotic Activity Recognition
Rojin Zandi, Hojjat Salehinejad, Milad Siami
Wi-Fi Channel State Information (CSI) has emerged as a promising non-line-of-sight sensing modality for human and robotic activity recognition. However, prior work has predominantl…
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio
Kian Behzad, Rojin Zandi, Elaheh Motamedi +2
We introduce a novel dataset for multi-robot activity recognition (MRAR) using two robotic arms integrating WiFi channel state information (CSI), video, and audio data. This multim…
Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information
Rojin Zandi, Kian Behzad, Elaheh Motamedi +2
Vision-based methods are commonly used in robotic arm activity recognition. These approaches typically rely on line-of-sight (LoS) and raise privacy concerns, particularly in smart…
Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments
Elaheh Motamedi, Kian Behzad, Rojin Zandi +2
In the realm of robot action recognition, identifying distinct but spatially proximate arm movements using vision systems in noisy environments poses a significant challenge. This…
RoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing
Rojin Zandi, Kian Behzad, Elaheh Motamedi +2
Despite the current surge of interest in autonomous robotic systems, robot activity recognition within restricted indoor environments remains a formidable challenge. Conventional m…
Robot Motion Prediction by Channel State Information
Rojin Zandi, Hojjat Salehinejad, Kian Behzad +2
Autonomous robotic systems have gained a lot of attention, in recent years. However, accurate prediction of robot motion in indoor environments with limited visibility is challengi…