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cs.RO2026

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2023

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…

cs.RO2023

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…