Student Talks
Creative Robotic Systems for Talent-Based Learning
Event Location: GHC 4405Abstract: In recent years, the U.S. educational system has fallen short in training the technology innovators of the future. To do so, we must give students the experience of designing and creating technological artifacts, rather than relegating students to the role of technology consumers, and must provide students with engineering activities that [...]
Online Hierarchical Optimization for Humanoid Control
Event Location: NSH 3305Abstract: This thesis proposal presents an online approach that is based on hierarchical optimization for controlling humanoid robots. While our primary focus is on developing a fast and robust walking system that is able to follow desired footsteps, full body manipulation capability is also achieved. The proposed hierarchical system consists of three [...]
Expressive Motion for Low Degree of Freedom Robots
Event Location: NSH 3305Abstract: As social and collaborative robots move into everyday life, the need for algorithms enabling their acceptance becomes critical. The proposed work will create a framework for Expressive Motion generation that allows a robot to use modified task motions to communicate its state naturally and efficiently, including mental state, task state, and [...]
Natural Language Direction Following for Robots in Unstructured Unknown Environments
Event Location: NSH 3305Abstract: Robots are increasingly performing collaborative tasks with people in our homes, workplaces, and outdoors, and with this increase in interaction comes a need for efficient communication between human and robot teammates. One way to achieve this communication is through natural language, which provides a flexible and intuitive way to issue commands [...]
Planning for Robot Recovery with Varying Model Fidelity
Event Location: GHC 4405Abstract: For robots to be deployable, robot systems need to operate reliably for long periods. Reliable operation requires robots to reason about events that impede task progression. Robots that consider failure recovery strategies are more dependable and robust to unforeseen events. Recovery strategies allow the robot to continue consistent task operation even [...]
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 [...]