Multimodal HCI for Robot Control: Towards an Intelligent Robotic 
Assistant for People with Disabilities

Zunaid Kazi, Shoupu Chen, Matthew Beitler, Daniel Chester and Richard Foulds
Applied Science and Engineering Laboratories, 
Unversity of Delaware/A.I. duPont Institute Wilmington, 
DE 19899, USA
{kazi,chen,beitler,chester,foulds}@asel.udel.edu

The Multimodal User Supervised Interface and Intelligent 
Control (MUSIIC) project is working towards the development 
of an assistive robotic system which integrates human-comput
er interaction with reactive planning techniques borrowed from 
artificial intelligence. The MUSIIC system is intended to oper
ate in an unstructured environment, rather than in a structured 
workcell, allowing users with physical disabilities consider
able freedom and flexibility in terms of control and operating 
ease. This paper reports on the current status of the MUSIIC 
project.