MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Yifan Ding – MSR Thesis Talk

Newell-Simon Hall 4305

Title: Decentralized Multiple Mobile Depots Route Planning for Replenishing Persistent Surveillance Robots   Abstract: Persistent surveillance of a target space using multiple robots has numerous applications. The continuous operation in these applications is challenged by the limited onboard battery capacity of the persistent robots. We consider the problem for replenishing persistent robots using mobile depots, [...]

RI Seminar
Todd Murphey
Professor
Mechanical Engineering, Northwestern University

Active Learning in Robot Motion Control

1305 Newell Simon Hall

Abstract: Motion motivated by information needs can be found throughout natural systems, yet there is comparatively little work in robotics on analyzing and synthesizing motion for information. Instead, engineering analysis of robots and animal motion typically depends on defining objectives and rewards in terms of states and errors on states. This is how we formulate [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Tanya Marwah – MSR Thesis Talk

Newell Simon Hall 4201

Title: Generating 3D Human Animations from Single Monocular Images   Abstract: Endowing AI systems with the ability to formulate a three-dimensional understanding of human appearance from a single RGB image is an important component technology for applications such as person re-identification, biometrics, virtual reality and augmented reality. However, jointly inferring the texture map and 3D [...]

Special Talk
Tesca Fitzgerald
PhD candidate
Computer Science, Georgia Tech College of Computing

Human-guided Task Transfer for Interactive Robots

GATES-HILLMAN 4405

Abstract: Adaptability is an essential skill in human cognition, enabling us to draw from our extensive, life-long experiences with various objects and tasks in order to address novel problems. To date, most robots do not have this kind of adaptability, and yet, as our expectations of robots’ interactive and assistive capacity grows, it will be [...]

MSR Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Pragna Mannam – MSR Thesis Talk

Newell-Simon Hall 4305

Title: Model-free Sensorless Manipulation   Abstract: This thesis is a study of 2D manipulation without sensing and planning, by exploring the effects of unplanned randomized action sequences on 2D object pose uncertainty. Our approach uses sensorless reorienting of an object to achieve a determined pose, regardless of the initial pose. Without using sensors and models [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Gines Hidalgo Martinez – MSR Thesis Talk

NSH 1109

Title: OpenPose: Whole-Body Pose Estimation   Abstract: We present the first single-network approach for 2D whole-body (body, face, hand, and foot) pose estimation, capable of detecting an arbitrary number of people from in-the-wild images. Our method maintains constant real-time performance regardless of the number of people in the image. This network is trained in a [...]

Faculty Events

RI Faculty Social

Newell-Simon Hall 4201

All Robotics Institute faculty are invited to attend this informal team-building business/social event. Beverages and snacks will be provided.

MSR Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Donglai Xiang – MSR Thesis Talk

Newell-Simon Hall 3305

Title: Monocular Total Capture: Pose Face, Body, and Hands in the Wild   Abstract: We present the first method to capture the 3D total motion of a target person from a monocular view input. Given an image or a monocular video, our method reconstructs the motion from body, face, and fingers represented by a 3D deformable [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Wentao Yuan – MSR Thesis Talk

Newell-Simon Hall 4305

Title: 3D Shape Completion and Canonical Pose Estimation with Structured Neural Networks   Abstract: 3D point cloud is an efficient and flexible representation of 3D structures and the raw output of many 3D sensors. Recently, neural networks operating on point clouds have shown superior performance on various 3D understanding tasks, thanks to their power to [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Planning under Uncertainty with Multiple Heuristics

GHC 6115

Abstract: Many robotic tasks, such as mobile manipulation, often require interaction with unstructured environments and are subject to imperfect sensing and actuation. This brings substantial uncertainty into the problems. Reasoning under this uncertainty can provide higher level of robustness but is computationally significantly more challenging. More specifically, sequential decision making under motion and sensing uncertainty [...]