2 citations · 12 across the 24 of their papers we have counts for
8 papers · 1 filter
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…
Bio-Inspired Event-Based Visual Servoing for Ground Robots
Maral Mordad, Kian Behzad, Debojyoti Biswas +2
Biological sensory systems are inherently adaptive, filtering out constant stimuli and prioritizing relative changes, likely enhancing computational and metabolic efficiency. Inspi…
Non-submodular Visual Attention for Robot Navigation
Reza Vafaee, Kian Behzad, Milad Siami +2
This paper presents a task-oriented computational framework to enhance Visual-Inertial Navigation (VIN) in robots, addressing challenges such as limited time and energy resources.…
Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields
Wondmgezahu Teshome, Kian Behzad, Octavia Camps +3
Motivated by the problem of pursuit-evasion, we present a motion planning framework that combines energy-based diffusion models with artificial potential fields for robust real tim…
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…