CS Colloquium: Bradley Hayes (University of Colorado Boulder) - Human-robot teaming is a lot less dangerous with communication: Improving Human-Robot Teaming Performance in Partially Observable Environments with Augmented Reality
Wed, Apr 13, 2022 @ 04:30 PM - 05:50 PM
Conferences, Lectures, & Seminars
Speaker: Bradley Hayes, University of Colorado Boulder
Talk Title: Human-robot teaming is a lot less dangerous with communication: Improving Human-Robot Teaming Performance in Partially Observable Environments with Augmented Reality
Series: Computer Science Colloquium
Abstract: 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 during human-robot teaming, but is often a requirement given the opaque nature of decision-making in autonomous systems. In this talk I will share some of our recent work using augmented reality as a mode of visual communication to improve both human and robot safety and capability when working together, introducing insights into human behavior and compliance in safety-critical situations as well as novel algorithms for autonomous communication and collaboration in partially observable environments. The talk will conclude with a presentation of our ongoing work at the intersection of fast constrained motion planning for sequential manifold planning problems and augmented reality-assisted learning from demonstration.
Prof. Bradley Hayes will give his talk in person at GFS 106 and we will also host the talk over Zoom.
Register in advance for this webinar at:
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Bradley Hayes is an Assistant Professor of Computer Science at the University of Colorado Boulder, where he runs the Collaborative AI and Robotics (CAIRO) Lab and serves as co-director of the university's Autonomous Systems Interdisciplinary Research Theme. Brad's research develops techniques to create and validate autonomous systems that learn from, teach, and collaborate with humans to improve efficiency, safety, and capability at scale. His work primarily leverages novel approaches at the intersection of human-robot interaction and explainable artificial intelligence, providing autonomous systems with the ability to generalize skills with limited risk, to act safely and productively around humans, and to make human-autonomy teams more powerful than the sums of their parts. His continual efforts to systematically put humans and autonomous systems into often entertaining and occasionally productive situations has been featured by TEDx, Popular Science, Wired, and MIT Technology review, and has been recognized with best paper nominations from HRI, AAMAS, and RO-MAN. Brad also serves as CTO at Circadence, building high-fidelity simulation, test, and evaluation environments for cyber-physical systems at nation-state scale.
Host: Stefanos Nikolaidis
Audiences: Everyone Is Invited
Contact: Computer Science Department