Safe and Capable Human-Machine Teaming through Multimodal Communication
Clear and frequent communication is a foundational aspect of collaboration. Effective communication not only enables and sustains the shared situational awareness necessary for adaptation and coordination, but is often a requirement given the opaque nature of decision-making in autonomous systems. In this talk I will share my lab's recent work at the intersection of human-machine communication and human-aware optimization under partially observable conditions. Through these advances we are able to realize human-autonomy teams that are greater than the sum of their parts, enabling autonomous systems to operationalize psychological insights about human cognition for effective communication, to distill and disseminate knowledge from machine learning models for real-time multimodal decision support, and even to help humans overcome limitations induced by sensory impairment.
Date and Time
Location
Hosts
Registration
- Date: 30 Aug 2024
- Time: 12:00 AM UTC to 02:00 AM UTC
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- Starts 09 August 2024 06:00 AM UTC
- Ends 29 August 2024 06:00 AM UTC
- No Admission Charge
Speakers
Dr. Hayes
Biography:
Dr. Bradley Hayes is an Associate Professor of Computer Science at the University of Colorado Boulder, where he directs the Collaborative AI and Robotics (CAIRO) Lab. Brad's research exists at the intersection of Explainable AI and Human-Robot Interaction, developing techniques to create and validate autonomous systems that learn from, teach, and collaborate with humans to improve efficiency, safety, and capability. His work has been recognized with best paper nominations and awards from the University of Colorado Boulder, the ACM/IEEE International Conference on Human-Robot Interaction, the International Conference on Autonomous Agents and Multi-Agent Systems, and the IEEE International Symposium on Robot and Human Interactive Communication. Prior to joining the faculty at CU Boulder, Brad conducted research on the algorithmic foundations of human-robot interaction at the Yale Social Robotics Lab and the Massachusetts Institute of Technology Interactive Robotics Group.