3 citations · 6 across the 12 of their papers we have counts for
13 papers
Anonymous Self-Stabilising Localisation via Spatial Population Protocols
Leszek Gąsieniec, Łukasz Kuszner, Ehsan Latif +3
In the distributed localization problem (DLP), anonymous robots (agents) begin at arbitrary positions in , where is an Eucli…
Anchor-Oriented Localized Voronoi Partitioning for GPS-denied Multi-Robot Coverage
Aiman Munir, Ehsan Latif, Ramviyas Parasuraman
Multi-robot coverage is crucial in numerous applications, including environmental monitoring, search and rescue operations, and precision agriculture. In modern applications, a mul…
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
Siva Krishna Ravipati, Ehsan Latif, Ramviyas Parasuraman +1
Classification of different object surface material types can play a significant role in the decision-making algorithms for mobile robots and autonomous vehicles. RGB-based scene-l…
PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations
Ehsan Latif, Ramviyas Parasuraman, Xiaoming Zhai
Robot systems in education can leverage Large language models' (LLMs) natural language understanding capabilities to provide assistance and facilitate learning. This paper proposes…
Instantaneous Wireless Robotic Node Localization Using Collaborative Direction of Arrival
Ehsan Latif, Ramviyas Parasuraman
Localizing mobile robotic nodes in indoor and GPS-denied environments is a complex problem, particularly in dynamic, unstructured scenarios where traditional cameras and LIDAR-base…
HGP-RL: Distributed Hierarchical Gaussian Processes for Wi-Fi-based Relative Localization in Multi-Robot Systems
Ehsan Latif, Ramviyas Parasuraman
Relative localization is crucial for multi-robot systems to perform cooperative tasks, especially in GPS-denied environments. Current techniques for multi-robot relative localizati…
CQLite: Communication-Efficient Multi-Robot Exploration Using Coverage-biased Distributed Q-Learning
Ehsan Latif, Ramviyas Parasuraman
Frontier exploration and reinforcement learning have historically been used to solve the problem of enabling many mobile robots to autonomously and cooperatively explore complex su…
SEAL: Simultaneous Exploration and Localization in Multi-Robot Systems
Ehsan Latif, Ramviyas Parasuraman
The availability of accurate localization is critical for multi-robot exploration strategies; noisy or inconsistent localization causes failure in meeting exploration objectives. W…
Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration
Ehsan Latif, WenZhan Song, Ramviyas Parasuraman
Smooth coordination within a swarm robotic system is essential for the effective execution of collective robot missions. Having efficient communication is key to the successful coo…
DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems
Ehsan Latif, Ramviyas Parasuraman
An optimization problem is at the heart of many robotics estimating, planning, and optimum control problems. Several attempts have been made at model-based multi-robot localization…
Multi-Robot Synergistic Localization in Dynamic Environments
Ehsan Latif, Ramviyas Parasuraman
A mobile robot's precise location information is critical for navigation and task processing, especially for a multi-robot system (MRS) to collaborate and collect valuable data fro…
Online Indoor Localization Using DOA of Wireless Signals
Ehsan Latif, Ramviyas Parasuraman
Localization of a wireless mobile device or a robot in indoor and GPS-denied environments is a difficult problem, particularly in dynamic scenarios where traditional cameras and LI…
Message Expiration-Based Distributed Multi-Robot Task Management
Yikang Gui, Ehsan Latif, Ramviyas Parasuraman
Distributed task assignment for multiple agents raises fundamental and novel control theory and robotics problems. A new challenge is the development of distributed algorithms that…