Student Talks
Measuring and Modeling Kinesic Signals in Social Communication
Abstract: Humans use subtle and elaborate body signals to convey their thoughts, emotions, and intentions. "Kinesics" is a term that refers to the study of such body movements used in social communication, including facial expressions and hand gestures. Understanding kinesic signals is fundamental to understanding human communication; it is among the key technical barriers to [...]
Probabilistic Approaches for Pose Estimation
Abstract: Pose estimation is central to several robotics applications such as registration, manipulation, SLAM, etc. In this thesis, we develop probabilistic approaches for fast and accurate pose estimation. A fundamental contribution of this thesis is formulating pose estimation in a parameter space in which the problem is truly linear and thus globally optimal solutions can [...]
Ada J. Zhang: Personalized Human Motion Classification
Abstract: Algorithms for human motion understanding have a wide variety of applications, including health monitoring, performance assessment, and user interfaces. However, differences between individual styles make it difficult to achieve robust performance, particularly for individuals who were not in the training population. We believe that adapting algorithms to individual behaviors is essential for effective human [...]
Robotics Institute Summer Scholars Program (RISS) Orientation
By Invitation Only - Welcome RI Summer Scholars! 11 weeks of immersive research, learning, and exchange!
Robotics Institute Summer Scholars Program (RISS) Lunch Workshop
By Invitation Only - Weekly lunch workshop for all RISS students.
Robotics Institute Summer Scholars Program (RISS) Lunch Workshop
By Invitation Only - Weekly lunch workshop for all RISS students.
Robotics Institute Summer Scholars Program (RISS) Lunch Workshop
By Invitation Only - Weekly lunch workshop for all RISS students.
Robotics Institute Summer Scholars Program (RISS) Lunch Workshop
By Invitation Only - Weekly lunch workshop for all RISS students.
Reasoning About Spatial Patterns of Human Behavior During Group Conversations with Robots
Abstract: The goal of this dissertation is to develop computational models for robots to detect and sustain the spatial patterns of behavior that naturally emerge during free-standing group conversations with people. These capabilities have often been overlooked by the Human-Robot Interaction (HRI) community, but they are essential for robots to appropriately interact with and around [...]
Acting under Uncertainty for Information Gathering and Shared Autonomy
Abstract: Acting under uncertainty is a fundamental challenge for any decision maker in the real world. As uncertainty is often the culprit of failure, many prior works attempt to reduce the problem to one with a known state. However, this fails to account for a key property of acting under uncertainty: we can often gain [...]