activity
20182024
most citedExternal Human-Machine Interface on Delivery Robots: Expression of Navigation Intent of the Robot

2 citations · 3 across the 5 of their papers we have counts for

collaborators

9 papers

cs.RO2024

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…

cs.RO2021

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…

cs.RO20212 cited

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…

cs.RO2021

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…

cs.HC2020

Investigating the Effect of Deictic Movements of a Multi-robot

Ahreum Lee, Wonse Jo, Shyam Sundar Kannan +1

Multi-robot systems are made up of a team of multiple robots, which provides the advantage of performing complex tasks with high efficiency, flexibility, and robustness. Although r…

cs.RO20201 cited

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…