PhD Thesis Defense
Sanjiv Singh, Ph.D.
Research Professor
Carnegie Mellon University

A Process for Conducting (Doctoral) Research in Robotics

Event Location: GHC 2109Bio: Sanjiv Singh is a Research Professor at the Robotics Institute, Carnegie Mellon University. He received his B.S in Computer Science from the University of Denver (1983) M.S in Electrical Engineering from Lehigh University (1985) and a PhD in Robotics from Carnegie Mellon (1995). He is the Editor-in-Chief of the Journal of [...]

PhD Thesis Defense
Amir Degani
Carnegie Mellon University

Minimalistic Dynamic Climbing Locomotion

Event Location: GHC 4405Abstract: Dynamics in locomotion is highly useful, as can be seen in animals and is becoming apparent in robots. For instance, chimpanzees are dynamic climbers that can reach virtually any part of a tree and even move to neighboring trees, while sloths are quasistatic climbers confined only to a few branches. Although [...]

PhD Thesis Defense
Sebastian Scherer
Carnegie Mellon University

Low-Altitude Operation of Unmanned Aerial Vehicles

Event Location: NSH 1109Abstract: Currently deployed unmanned aerial vehicles (UAVs) rely on preplanned missions or teleoperation and do not actively incorporate information about obstacles, landing sites, wind, position uncertainty, and other aerial vehicles during online trajectory planning. Prior work has successfully addressed some problems such as obstacle avoidance at slow speeds, or landing at known [...]

PhD Thesis Defense
Jean-Francois Lalonde
Carnegie Mellon University

Understanding and Recreating Visual Appearance Under Natural Illumination

Event Location: GHC 4405Abstract: The appearance of an outdoor scene is determined to a great extent by the prevailing illumination conditions. However, most practical computer vision applications treat illumination more as a nuisance rather than a source of signal. In this dissertation, we suggest that we should instead embrace illumination, even in the challenging, uncontrolled [...]

PhD Thesis Defense
G. Ayorkor Korsah
Carnegie Mellon University

Exploring bounded optimal coordination for heterogeneous teams with cross-schedule dependencies

Event Location: GHC 6501Abstract: Many domains, such as emergency assistance, agriculture, construction, and planetary exploration, will increasingly require effective coordination of teams of robots and humans to accomplish a collection of spatially distributed heterogeneous tasks. Such coordination problems range from those that require loosely coordinated teams in which agents independently perform their assigned tasks, to [...]

PhD Thesis Defense
Mark Palatucci
Carnegie Mellon University

Thought Recognition: Predicting and Decoding Brain Activity Using the Zero-Shot Learning Model

Event Location: GHC 8102Abstract: Machine learning algorithms have been successfully applied to learning classifiers in many domains such as computer vision, fraud detection, and brain image analysis. Typically, classifiers are trained to predict a class value given a set of labeled training data that includes all possible class values, and sometimes additional unlabeled training data. [...]

PhD Thesis Defense
Dmitry Berenson
Carnegie Mellon University

Constrained Manipulation Planning

Event Location: NSH 3305Abstract: For robots to be useful in our homes they must be able to interact with our everyday environments and obey constraints on their motion. This thesis focuses on manipulation planning algorithms, which use search and optimization to quickly compute trajectories that allow a robot to interact with its environment. Planning for [...]

PhD Thesis Defense
Peter Barnum
Carnegie Mellon University

Light and Water Drops

Event Location: NSH 1305Abstract: Water drops are present throughout our daily lives. Because of their shape and refractive properties, water drops exhibit a wide variety of visual effects. If not directly illuminated by a light source, then they are difficult to see. But if they are directly illuminated, they can become the brightest objects in [...]

PhD Thesis Defense
Benjamin Stephens
Carnegie Mellon University

Push Recovery Control for Force-Controlled Humanoid Robots

Event Location: GHC 6115Abstract: Humanoid robots represent the state of the art in complex robot systems, but the design of controllers can be challenging and tedious. High performance controllers that can handle unknown perturbations will be required if complex robots are to one day interact safely with people in everyday environments. The high degree of [...]

PhD Thesis Defense
Anton Chechetka
Carnegie Mellon University

Query-Specific Learning and Inference for Probabilistic Graphical Models

Event Location: GHC 4405Abstract: In numerous real world applications, from sensor networks to computer vision to natural text processing, one needs to reason about the system in question in the face of uncertainty. A key problem in all those settings is to compute the probability distribution over the variables of interest (the query) given the [...]