PhD Thesis Defense

Learning Multi-Modal Navigation for Unmanned Ground Vehicles

GHC 4405

The Event has been Postponed. Abstract: A robot that operates efficiently in a team with a human in an unstructured outdoor environment must be able to translate commands from a modality that is intuitive to its operator into actions. This capability is especially important as robots become ubiquitous and interact with untrained users. For this [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Algorithms, Implementation, and Studies on Eating with a Shared Control Robot Arm

GHC 4405

Abstract: People with upper extremity disabilities are gaining increased independence through the use of assisted devices such as wheelchair-mounted robotic arms. However, the increased capability and dexterity of these robotic arms also makes them challenging to control through accessible interfaces like joysticks, sip-and-puff, and buttons that are lower-dimensional than the control space of the robot. [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Foraging, Prospecting, and Falsification – Improving Three Aspects of Autonomous Science

NSH 3305

Abstract: Robots exploring the subsurface ocean of Europa, for example, may not have reliable communications with scientists on Earth. Robots exploring with unreliable communications must conduct scientific exploration autonomously. Approaches to deliberative and opportunistic science autonomy that work in the laboratory may not work in the field. This thesis presents three algorithms designed to improve [...]

PhD Speaking Qualifier

Characterization of Anchoring in Granular Soils

GHC 8102

Abstract: I will present the results of tests conducted to characterize the pullout force of an anchor buried in cohesionless soils. Sensitivity analyses were conducted to understand how key measures of fin geometry affect an anchor's pullout force. To generalize the data collected, I propose a dimensionless model for predicting the performance of arbitrary fin [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Data-Driven Visual Forecasting

NSH 3305

Abstract: Understanding the temporal dimension of images is a fundamental part of computer vision. Humans are able to interpret how the entities in an image will change over time. However, it has only been relatively recently that researchers have focused on visual forecasting—getting machines to anticipate events in the visual world before the actually happen. [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Planning for Sustained Lunar Polar Roving

GHC 4405

Abstract: Lunar polar resources can accelerate deep space exploration by resupplying missions with oxygen, water, and propellent. Before lunar resupply can be established, the distribution and concentration of water ice and other volatiles abundant at the poles of the Moon must be verified and mapped. The need for affordable, scalable exploration of the lunar poles [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Lidar Simulation for Robotic Application Development: Modeling and Evaluation

NSH 1305

Abstract: Given the increase in scale and complexity of robotics, robot application development is challenging in the real world. It may be expensive, unsafe, or impractical to collect data, or test systems, in reality. Simulation provides an answer to these challenges. In simulation, data collection is relatively inexpensive, scenes can be procedurally generated, and state [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Adapting to Context in Robot Perception

NSH 3305

Abstract: The promised future filled with robots sensing and acting intelligently in the world is near fruition, thanks in part to continuous progress in robotic perception. However, a number of challenges remain before robots and their perception systems can be truly reliable. In particular, we must consider what happens when highly complex perception systems designed [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Depth Imaging for Navigation in Challenging Environments

NSH 1507

Abstract: Depth sensors for robust navigation must measure scenes in darkness, bright light, and in scattering media. Scanning LIDAR devices are the most robust to these conditions, but capture sparse measurements, are slow, and expensive. Consumer depth cameras, on the other hand, are inexpensive and produce dense, high rate depth measurements, but fail in bright [...]

MSR Thesis Defense
Robotics Institute,
Carnegie Mellon University

Learning with Auxiliary Supervision

NSH 1507

Abstract: Supervised learning for high-level vision tasks has advanced significantly over the last decade. One of the primary driving forces for these improvements has been the availability of vast amounts of labeled data. However, annotating data is an expensive and time-consuming process. For example, densely segmenting a natural scene image takes approximately 30 minutes. This mode [...]