28 citations · 58 across the 16 of their papers we have counts for
11 papers · 1 filter
ZeroSCD: Zero-Shot Street Scene Change Detection
Shyam Sundar Kannan, Byung-Cheol Min
Scene Change Detection is a challenging task in computer vision and robotics that aims to identify differences between two images of the same scene captured at different times. Tra…
DynaCon: Dynamic Robot Planner with Contextual Awareness via LLMs
Gyeongmin Kim, Taehyeon Kim, Shyam Sundar Kannan +3
Mobile robots often rely on pre-existing maps for effective path planning and navigation. However, when these maps are unavailable, particularly in unfamiliar environments, a diffe…
SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
Shyam Sundar Kannan, Vishnunandan L. N. Venkatesh, Byung-Cheol Min
In this work, we introduce SMART-LLM, an innovative framework designed for embodied multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language…
UPPLIED: UAV Path Planning for Inspection through Demonstration
Shyam Sundar Kannan, Vishnunandan L. N. Venkatesh, Revanth Krishna Senthilkumaran +1
In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for I…
A Predictive Application Offloading Algorithm Using Small Datasets for Cloud Robotics
Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min
Many robotic applications that are critical for robot performance require immediate feedback, hence execution time is a critical concern. Furthermore, it is common that robots come…
External Human-Machine Interface on Delivery Robots: Expression of Navigation Intent of the Robot
Shyam Sundar Kannan, Ahreum Lee, Byung-Cheol Min
External Human-Machine Interfaces (eHMI) are widely used on robots and autonomous vehicles to convey the machine's intent to humans. Delivery robots are getting common, and they sh…
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
Shakti N. Wadekar, Benjamin J. Schwartz, Shyam S. Kannan +5
Deep Neural Networks (DNNs) which are trained end-to-end have been successfully applied to solve complex problems that we have not been able to solve in past decades. Autonomous dr…
Autonomous Drone Delivery to Your Door and Yard
Shyam Sundar Kannan, Byung-Cheol Min
In this work, we present a system that enables delivery drones to autonomously navigate and deliver packages at various locations around a house according to the desire of the reci…
A ROS-based Framework for Monitoring Human and Robot Conditions in a Human-Multi-robot Team
Wonse Jo, Shyam Sundar Kannan, Go-Eum Cha +2
This paper presents a framework for monitoring human and robot conditions in human multi-robot interactions. The proposed framework consists of four modules: 1) human and robot con…
Smart Cloud: Scalable Cloud Robotic Architecture for Web-powered Multi-Robot Applications
Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min
Robots have inherently limited onboard processing, storage, and power capabilities. Cloud computing resources have the potential to provide significant advantages for robots in man…
Material Mapping in Unknown Environments using Tapping Sound
Shyam Sundar Kannan, Wonse Jo, Ramviyas Parasuraman +1
In this paper, we propose an autonomous exploration and a tapping mechanism-based material mapping system for a mobile robot in unknown environments. The goal of the proposed syste…