16 citations · 141 across the 22 of their papers we have counts for
22 papers
Real-Time Navigation for Autonomous Aerial Vehicles Using Video
Khizar Anjum, Parul Pandey, Vidyasagar Sadhu +2
Most applications in autonomous navigation using mounted cameras rely on the construction and processing of geometric 3D point clouds, which is an expensive process. However, there…
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies
Pedro Sequeira, Vidyasagar Sadhu, Melinda Gervasio
In this paper we present ToMCAT (Theory-of-Mind for Cooperative Agents in Teams), a new framework for generating ToM-conditioned trajectories. It combines a meta-learning mechanism…
Automatic Measures for Evaluating Generative Design Methods for Architects
Eric Yeh, Briland Hitaj, Vidyasagar Sadhu +3
The recent explosion of high-quality image-to-image methods has prompted interest in applying image-to-image methods towards artistic and design tasks. Of interest for architects i…
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
J. Brian Burns, Aravind Sundaresan, Pedro Sequeira +1
We present an approach for autonomous sensor control for information gathering under partially observable, dynamic and sparsely sampled environments that maximizes information abou…
On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification
Vidyasagar Sadhu, Saman Zonouz, Dario Pompili
With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it is important to detect and identify causes of failure in real time for proper recovery from a potential crash…
Energy-efficient Analog Sensing for Large-scale and High-density Persistent Wireless Monitoring
Vidyasagar Sadhu, Xueyuan Zhao, Dario Pompili
The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such a…
Signal Recovery Performance Analysis in Wireless Sensing with Rectangular-Type Analog Joint Source-Channel Coding
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
The signal recovery performance of the rectangular-type Analog Joint Source-Channel Coding (AJSCC) is analyzed in this work for high and medium/low Signal-to-Noise Ratio (SNR) scen…
UW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles
Mehdi Rahmati, Mohammad Nadeem, Vidyasagar Sadhu +1
Near-real-time water-quality monitoring in uncertain environments such as rivers, lakes, and water reservoirs of different variables is critical to protect the aquatic life and to…
Real-time Image Enhancement for Vision-based Autonomous Underwater Vehicle Navigation in Murky Waters
Wenjie Chen, Mehdi Rahmati, Vidyasagar Sadhu +1
Classic vision-based navigation solutions, which are utilized in algorithms such as Simultaneous Localization and Mapping (SLAM), usually fail to work underwater when the water is…
Low-power All-analog Circuit for Rectangular-type Analog Joint Source Channel Coding
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
A low-complexity all-analog circuit is proposed to perform efficiently Analog Joint Source Channel Coding (AJSCC), which can compress two or more sensor signals into one with contr…
Towards Ultra-low-power Realization of Analog Joint Source-Channel Coding using MOSFETs
Vidyasagar Sadhu, Sanjana Devaraj, Dario Pompili
Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, requires sensors that consume ultra-low powe…
Towards Low-power Wearable Wireless Sensors for Molecular Biomarker and Physiological Signal Monitoring
Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2
A low-power wearable wireless sensor measuring both molecular biomarkers and physiological signals is proposed, where the former are measured by a microfluidic biosensing system wh…
Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors
Xueyuan Zhao, Vidyasagar Sadhu, Anthony Yang +1
To enable low-power and low-complexity wireless monitoring, an improved circuit design of Analog Joint Source Channel Coding (AJSCC) is proposed for wireless sensor nodes. This inn…
Energy-efficient Wireless Analog Sensing for Persistent Underwater Environmental Monitoring
Vidyasagar Sadhu, Sanjana Devaraj, Dario Pompili
The design of sensors or "things" as part of the new Internet of Underwater Things (IoUTs) paradigm comes with multiple challenges including limited battery capacity, not polluting…
Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness
Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili +2
Trustworthy operation of our national critical infrastructures, such as the electricity grid, against adversarial parties and accidental failures requires constant and secure monit…
Towards Wireless Health Monitoring via Analog Signal Compression based Biosensing Platform
Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2
Wireless all-analog biosensor design for concurrent microfluidic and physiological signal monitoring is presented in this work. The key component is an all-analog circuit capable o…
Analog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
Scalability is a major issue for Internet of Things (IoT) as the total amount of traffic data collected and/or the number of sensors deployed grow. In some IoT applications such as…
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Vidyasagar Sadhu, Teruhisa Misu, Dario Pompili
Corner cases are the main bottlenecks when applying Artificial Intelligence (AI) systems to safety-critical applications. An AI system should be intelligent enough to detect such s…
Argus: Smartphone-enabled Human Cooperation via Multi-Agent Reinforcement Learning for Disaster Situational Awareness
Vidyasagar Sadhu, Gabriel Salles-Loustau, Dario Pompili +2
Argus exploits a Multi-Agent Reinforcement Learning (MARL) framework to create a 3D mapping of the disaster scene using agents present around the incident zone to facilitate the re…
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering
Vidyasagar Sadhu, Saman Zonouz, Vincent Sritapan +1
Mobile context determination is an important step for many context aware services such as location-based services, enterprise policy enforcement, building or room occupancy detecti…
CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion
Vidyasagar Sadhu, Dario Pompili, Saman Zonouz +1
Mobile phones provide an excellent opportunity for building context-aware applications. In particular, location-based services are important context-aware services that are more an…
Energy-efficient Analog Sensing for Large-scale, High-density Persistent Wireless Monitoring
Vidyasagar Sadhu, Xueyuan Zhao, Dario Pompili
The research challenge of current Wireless Sensor Networks~(WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such a…