MSR Thesis Defense
Extern
Robotics Institute,
Carnegie Mellon University

Radiation Source Localization using a Gamma-ray Camera

GHC 6501

Radiation source localization is a common and critical task across applications such as nuclear facility decommissioning, radioactive disaster response, and security. Traditional count-based sensors (e.g. Geiger counters) infer range to the source based on the observed number of gamma photons, expected source strength, and assumed intermediate attenuation from the environment. In cluttered 3D settings, such [...]

MSR Thesis Defense
Robotics Institute,
Carnegie Mellon University

Improving Imitation Learning through Efficient Expert Querying

GHC 4405

Learning from demonstration is an intuitive approach to encoding complex behaviors in autonomous agents.  Learners have shown success in challenging tasks like autonomous driving, aerial obstacle avoidance, and information gathering, through observation and mimicry alone. State of the art algorithms like Dataset Aggregation (DAgger) have made significant advances over traditional behavior cloning, demonstrating strong theoretical [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Provably Optimal Design of a Brain-Computer Interface

NSH 1305

Abstract: Brain-computer interfaces are in the process of moving from the laboratory to the clinic. These devices act by reading neural activity and using it to directly control a device, such as a cursor on a computer screen. Over the past two decades, much attention has been devoted to the decoding problem: how should recorded [...]

MSR Thesis Defense
PhD Student
Robotics Institute,
Carnegie Mellon University

Failure Is an Option: How the Severity of Robot Errors Affects Human-Robot Interactions

GHC 4405

Abstract: Just as humans are imperfect, even the best of robots will eventually fail at performing a task. The likelihood of failure increases as robots expand their roles in our lives. Although task failure is a common problem in robotics and human-robot interaction (HRI), there has been little research investigating human tolerance to said failures, [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Extensions of the Principal Fiber Bundle Model for Locomoting Robots

NSH 1305

Abstract: Our goal is to establish a rigorous formulation for modeling the locomotion of a broad class of robotic systems. Recent research has identifi ed a number of systems with the structure of a principal fiber bundle. This framework has led to a number of tools for analysis and motion planning applicable to various robotic [...]

Special Events

2018 Robotics Institute Picnic

Vietnam Veteran's Pavilion @ Schenley Park Overlook Drive, Pittsburgh, United States

Attention: This events time was changed. The original time was 3pm to 7pm, the event is now occurring from 2pm to 6pm. If you had exported the event to add it to your calendar, please be sure to update the time in your calendar appropriately. Private Event: By Invitation Only   SOCIALIZE, EAT, DRINK & [...]

RI Seminar
Assistant Professor
Robotics Institute,
Carnegie Mellon University

Imaging the World One Photon at a Time

1305 Newell Simon Hall

Abstract: The heart of a camera and one of the pillars for computer vision is the digital photodetector, a device that forms images by collecting billions of photons traveling through the physical world and into the lens of a camera.  While the photodetectors used by cellphones or professional DSLR cameras are designed to aggregate as [...]

RI Seminar
Principal Systems Scientist / Director, NREC
Robotics Institute,
Carnegie Mellon University

Lesson Learned from Two Decades of Robotics Development and Thoughts on Where We Go from Here

GHC 6115

Abstract: In this talk, Herman Herman will offer various lessons learned from developing various robots for the last 2 decades at the National Robotics Engineering Center. He will also offer his perspective on the future of autonomous robots in various industries, including self-driving cars, material handling and consumer robotics. Bio: Dr. Herman Herman is the [...]