Multiple Sensors Multi-instance (MSMI) Dataset - Available Upon Initial Publication or Request
Project Period: 2024-2026
Abstract
The Multiple Sensors Multi-instance (MSMI) Dataset represents a comprehensive collection of multi-sensor data designed to support research in robotics and machine learning applications. This dataset addresses the growing need for diverse, multi-modal data sources in the development of robust robotic systems capable of operating in complex, real-world environments.
The MSMI dataset incorporates data from multiple sensor modalities, including visual, auditory, tactile, and environmental sensors, captured across various scenarios and conditions. This multi-instance approach provides researchers with rich, diverse data that reflects the complexity of real-world robotic applications, enabling the development of more robust and adaptable systems.
The dataset is designed to support various research applications, including sensor fusion, multi-modal learning, robotic perception, and autonomous system development. By providing access to high-quality, multi-sensor data, this resource aims to accelerate research progress in these critical areas of robotics and artificial intelligence.
Study Period: 2024-2026
Team Members: Roland Goecke; Damith Herath; Ibrahim Radwin; James Ireland
Availability: Available upon initial publication or request
Damith Herath
Founder/Lead Collaborative Robotics Lab
Professor Damith Herath is the Founder and leader of the Collaborative Robotics Lab (CRL). His work focuses on exploring how robots and humans can collaborate, with an emphasis on the intersection of engineering, psychology, and the arts. His interdisciplinary approach actively seeks insights across diverse fields, promoting innovation and collaboration that transcends traditional disciplinary boundaries.