PhD Thesis Proposal
Matthew Klingensmith
Carnegie Mellon University

Articulated 3D SLAM

Event Location: NSH 3305Abstract: Consider a robot arm with a hand-mounted sensor. In order to interact with and understand the world, the robot must be able to reconstruct it using its sensor by moving its joints to scan the scene. If the robot's kinematics are known with absolute certainty, the problem is the simple 3D mapping problem. [...]

PhD Thesis Defense
Debadeepta Dey
Carnegie Mellon University

Predicting Sets and Lists: Theory and Practice

Event Location: NSH 1305Abstract: Increasingly, real world problems require multiple predictions while traditional supervised learning techniques focus on making a single best prediction. For instance in advertisement placement on the web, a list of advertisements is placed on a page with the objective of maximizing click-through rate on that list. In this work, we build [...]

PhD Thesis Defense
Prateek Tandon
Carnegie Mellon University

Bayesian Aggregation of Evidence for Detection and Characterization of Patterns in Multiple Noisy Observations

Event Location: NSH 1305Abstract: Effective use of Machine Learning to support extracting maximal information from limited sensor data is one of the important research challenges in robotic sensing. This thesis develops techniques for detecting and characterizing patterns in noisy sensor data. Our Bayesian Aggregation (BA) algorithmic framework can leverage data fusion from multiple low Signal-To-Noise [...]

PhD Thesis Defense
Xinjilefu
Carnegie Mellon University

State Estimation for Humanoid Robots

Event Location: GHC 6501Abstract: This thesis focuses on dynamic model based state estimation for hydraulic humanoid robots. The goal is to produce state estimates that are robust and achieve good performance when combined with the controller. Three issues are addressed in this thesis. How to use force sensor and IMU information in state estimation? How [...]

PhD Thesis Proposal
Michael Shomin
Carnegie Mellon University

Navigation for Balancing Robots in Contact with People

Event Location: NSH 1305Abstract: This work describes methods for advancing the state of the art in mobile robot navigation and physical Human-Robot Interaction (pHRI). An enabling technology in this effort is the ballbot, a person-sized mobile robot that balances on a ball.  This underactuated robot presents unique challenges in planning, navigation, and control; however, it also has significant advantages over [...]

PhD Thesis Proposal
Jennifer King
Carnegie Mellon University

Robust Rearrangement Planning using Nonprehensile Interaction

Event Location: GHC 6501Abstract: As we work to move robots out of factories and into human environments, we must empower robots to interact freely in unstructured, cluttered spaces.  Humans do this easily, using diverse, whole-arm, nonprehensile actions such as pushing or pulling in everyday tasks. These interaction strategies make difficult tasks easier and impossible tasks [...]

PhD Thesis Proposal
Shervin Javdani
Carnegie Mellon University

Learning Policies for Shared Autonomy

Event Location: NSH 3305Abstract: In shared autonomy, user input and robot autonomy are combined to control a robot to achieve a goal. Most prior work accomplishes this by augmenting user input with some autonomous strategy for that goal. We take a different viewpoint, treating the user as a policy minimizing some cost function. Our aim [...]

PhD Thesis Proposal
Hatem Alismail
Carnegie Mellon University

Direct Multiple View Visual Simultaneous Localization And Mapping

Event Location: NSH 1305Abstract: We propose a direct, featureless, Lucas-Kanade-based method as a reliable Visual Simultaneous Localization And Mapping (VSLAM) solution in challenging environments, where feature detection and precise subpixel localization may be unreliable. Current state-of-the-art direct methods have been shown to perform well on a range of challenging datasets. Nonetheless, they have been limited [...]

PhD Thesis Defense
Varun Ramakrishna
Carnegie Mellon University

Pose Machines: Estimating Articulated Pose from Images and Video

Event Location: NSH 1305Abstract: The articulated motion of humans is varied and complex. We use the range of motion of our articulated structure for functional tasks such as transport, manipulation, communication, and self-expression. We use our limbs to gesture and signal intent. It is therefore crucial for an autonomous system operating and interacting in human [...]