VASC Seminar
Yong Jae Lee
Assistant Professor
Computer Science Department, University of California, Davis

Learning to localize and anonymize objects with indirect supervision

GHC 6501

Abstract: Computer vision has made great strides for problems that can be learned with direct supervision, in which the goal can be precisely defined (e.g., drawing a box that tightly-fits an object). However, direct supervision is often not only costly, but also challenging to obtain when the goal is more ambiguous. In this talk, I [...]

RI Seminar
Bertram F. Malle
Professor
Department of Cognitive, Linguistic & Psychological Sciences and Humanity-Centered Robotics Initiative , Brown University

What People See in a Robot: A New Look at Human-Like Appearance

Newell-Simon Hall 3305

Abstract: A long-standing question in HRI is what effects a robot’s human-like appearance has on various psychological responses.  A substantial literature has demonstrated such effects on liking, trust, ascribed intelligence, and so on.  Much of this work has relied on a construct of uni-dimensional low to high human-likeness. I introduce evidence for an alternative view according to which [...]

RI Seminar
Claire J. Tomlin
Professor
Electrical Engineering & Computer Sciences, UC Berkeley

Safe Learning in Robotics

1305 Newell Simon Hall

Abstract: A great deal of research in recent years has focused on robot learning.  In many applications, guarantees that specifications are satisfied throughout the learning process are paramount. For the safety specification, we present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.  In the first part [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning

GHC 8102

Abstract: We consider the problem of planning a collision-free path for a high-dimensional robot. Specifically, we suggest a planning framework where a motion-planning algorithm can obtain guidance from a user. In contrast to existing approaches that try to speed up planning by incorporating experiences or demonstrations ahead of planning, we suggest to seek user guidance [...]

Faculty Events

RI Faculty Social

Tazza D'Oro, 3rd floor, Gates and Hillman Centers

All Robotics Institute faculty are invited to attend this informal team-building business/social event. Beverages and snacks will be provided.