Student Talks
Learning, Prediction, and Optimization for Hybrid Vehicle Energy Management
Event Location: GHC 4405Abstract: Each year, hybrid vehicles command a larger portion of total vehicles on the road. These vehicles combine multiple sources of energy, such as batteries and gasoline, which have different strengths and weaknesses. Active management of these energy sources can increase vehicle efficiency, longevity, or performance. Optimizing energy management is highly sensitive [...]
Online Lidar and Vision based Ego-motion Estimation and Mapping
Event Location: NSH 1507Abstract: In many real-world applications, motion estimation and mapping must be conducted online and in real-time. The real-time motion estimates are important for controlling and maneuvering autonomous vehicles, and the maps generated online are critical for obstacle avoidance and path planning. Further, the final map can be used as a representation of [...]
The Optical Coherence Tomography Microsurgical Augmented Reality System (OCT-MARS): a novel device for microsurgeries
Event Location: GHC 4405Abstract: I am proposing the development and testing of a novel augmented reality system for stereomicroscopic surgeries. This system will allow surgeons to view real-time medical image data as an in-situ overlay within the surgical field. Our application for the device is in-situ intraoperative OCT during surgeries on the anterior segment of [...]
Efficient Manipulation Task Planning via Reuse-Informed Optimization of Planning Effort
Event Location: GHC 6501Abstract: In order to assist humans with dangerous or menial tasks, autonomous robots will need to act under significant time and energy constraints. At task time, the amount of effort a robot spends planning directly detracts from its total performance. Manipulation tasks, however, present challenges to efficient motion planning. They are often [...]
Experience Graphs: Leveraging Experience in Planning
Event Location: NSH 3305Abstract: Motion planning is a central problem in robotics and is crucial to finding paths to navigate and manipulate safely and efficiently. Ideally, we want planners which find paths quickly and of good quality. Additionally, planners should generate predictable motions, which are safer when operating in the presence of humans. While the [...]
Supervised Descent Method
Event Location: GHC 2109Abstract: In this thesis, I aim to present a new perspective on looking at classical problems in Computer Vision. Instead of spending efforts on finding novel objective functions and improving existing optimization algorithms, I aim to demonstrate that formulating those problems as policy learning yields more flexible and efficient algorithms. Our recently [...]
Correcting Regions of Inaccurate Modeling for Online Performance Improvement
Event Location: NSH 3002Abstract: To make intelligent decisions, robots often use models of the effects of their actions on the world. Unfortunately, in complex environments, it is often infeasible to create models that are accurate in every plausible situation, which can lead to suboptimal performance. In these cases, online correction of model inaccuracies can lead [...]
Handheld Micromanipulator for Robot-Assisted Microsurgery
Event Location: NSH 3305Abstract: Robot-assisted surgery has been increasingly adopted in a wide variety of surgical applications because it offers fine manipulation with high precision and dexterity. Despite the commercial success of robotic platforms, practical use in microsurgery is still challenging due to a considerable level of accuracy required at sub-millimeter scales. Limited visualization and [...]
Forecasting Human Motion in Social Situations
Event Location: NSH 1507Abstract: The goal of this thesis is to further our understanding of nonverbal communication by developing methods and representations to quantify and predict human body motion during social interactions. We design a data collection protocol and capture system to obtain 3D body pose and facial annotations for groups of interacting people engaged [...]
Modeling Closed-Loop Adaptive Systems
Event Location: NSH 1305Abstract: Brain-machine interfaces (BMIs) are a powerful class of assistive devices that may one day restore movement ability to paralyzed individuals. These devices act by creating a direct mapping between recorded neural activity and the movement of an external actuator, like a computer cursor or a robotic arm, bypassing defective neural transmission [...]