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PhD Thesis Proposal

Sasanka Nagavalli: Behavior Composition in Human Interaction with Robotic Swarms

GHC 4405

Sasanka Nagavalli Ph.D. Thesis Proposal Abstract: Robotic swarms are multi-robot systems whose global behavior emerges from local interactions between individual robots and spatially proximal neighboring robots. Each robot can be programmed with several local control laws that can be activated depending on an operator's choice of global swarm behavior (e.g. flocking, aggregation, formation control, area [...]

PhD Thesis Proposal
Minh Phuoc Vo

Dynamic 3D Reconstruction from the Crowd

NSH 1109

Abstract: With the advent of affordable and high-quality smartphone cameras, any significant event, such as a wedding ceremony, a surprised birthday party, or a concert, can be easily captured from multiple of cameras. Automatically organizing such large scale visual data and creating a comprehensive 3D scene model for event browsing is an unsolved problem. State [...]

PhD Thesis Proposal
Hanbyul Joo

Measuring and Modeling Kinesic Signals in Social Communication

GHC 8102

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 [...]

PhD Thesis Proposal
R. Arun Srivatsan

Probabilistic Approaches for Pose Estimation

NSH 1305

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 [...]

PhD Thesis Proposal
Ada J. Zhang

Ada J. Zhang: Personalized Human Motion Classification

NSH 1305

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 [...]