PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Personalized and weakly supervised learning for Parkinson’s disease symptom detection

GHC 8102

Abstract: Parkinson's Disease (PD) is a neurodegenerative disorder that affects approximately one million Americans. Medications exist to manage the symptoms, but doctors must periodically adjust dosage level and frequency as a patient's disease progresses. These adjustments are typically based on observations made during short clinic visits, which provide an incomplete picture of a patient's daily [...]

VASC Seminar
Shih-En Wei
Research Scientist
Facebook Reality Labs

VR facial animation via multiview image translation

GHC 6501

Abstract:  A key promise of Virtual Reality (VR) is the possibility of remote social interaction that is more immersive than any prior telecommunication media. However, existing social VR experiences are mediated by inauthentic digital representations of the user (i.e., stylized avatars). These stylized representations have limited the adoption of social VR applications in precisely those [...]

VASC Seminar
Stephen Lombardi
Research Scientist
Facebook Reality Labs

Neural Volumes: Learning Dynamic Renderable Volumes from Images

GHC 6501

Abstract:   Modeling and rendering of dynamic scenes is challenging, as natural scenes often contain complex phenomena such as thin structures, evolving topology, translucency, scattering, occlusion, and biological motion. Mesh-based reconstruction and tracking often fail in these cases, and other approaches (e.g., light field video) typically rely on constrained viewing conditions, which limit interactivity. We [...]

Special Events

RI40: Past, Present, and Future

Gates-Hillman Center 4401

Please plan to join us on Friday, October 25, 2019 as we celebrate 40 years of people, robots, and innovation! 40 years ago Carnegie Mellon University’s Robotics Institute opened its doors with the dream of ushering in a new age of thinking robots. During the ensuing decades, we have experienced many research successes in intelligent [...]

Seminar
H. Harry Asada
Ford Professor of Engineering; Director, d'Arbeloff Laboratory for Information Systems and Technology
Massachusetts Institute of Technology

RI40 Seminar: From Direct-Drive to SuperLimb Bionics

1305 Newell Simon Hall

In 1980-81 the first Direct-Drive robot was developed at the CMU Robotics Institute. After almost 40 years, Direct-Drive has a renewed interest in the leg robotics community. Robotic legs powered by direct-drive or low gear-reduction motors can better interact with the ground and absorb impacts. In this seminar I will talk about robot design in [...]

Field Robotics Center Seminar
Tom Scherlis & Advaith Sethuraman
Undergraduate Students
Department of Electrical and Computer Engineering, Carnegie Mellon University

Tartan AUV: A Dive into Carnegie Mellon’s RoboSub Team

NSH 4305

Abstract: Founded last year, Tartan AUV is Carnegie Mellon’s undergraduate underwater robotics team which competes annually in the RoboSub competition. RoboSub teams must design, build, and test autonomous underwater vehicles that compete each August to complete tasks related to underwater navigation, object detection and manipulation, and acoustic beacon localization. In this talk we will provide [...]

RI Seminar
Rebecca Taylor
Assistant Professor
Mechanical Engineering, Carnegie Mellon University

DNA and gammaPNA in programmable nanomaterials for sensing, robotics and manufacturing

Gates Hillman Center 6115

Abstract: When programmable nanomaterials are used in conjunction with rapid microfabrication techniques like two photon polymerization, it becomes possible to rapidly prototype microstructures with nanoscale components. In this research presentation I introduce DNA nanotechnology using a commonly used simple nanotube motif, and I will illustrate how nucleic acid nanotubes can be used in sensing, robotics [...]

VASC Seminar
Franziska Mueller
M.Sc. (Doctoral Candidate)
Max Planck Institute for Informatics

Towards Lightweight Real-time Hand Reconstruction in Challenging

GHC 6501

Abstract: Humans naturally use their hands to interact and communicate with their surroundings. Reconstructing these complex and dexterous hand interactions enables sign-language recognition and translation, better assistive robots, and more immersive human-computer interaction (e.g. for AR and VR). To make hand reconstruction usable for the aforementioned applications and to a wide set of users, the [...]

Special Events
Ming Luo
Stanford University
Mechanical Engineering Department, Stanford University

Soft Robotics challenges: Design, Fabrication, Control, and Motion Planning

Gates-Hillman Center 8102

Abstract: More and more robots of the future will be soft. A soft body can absorb impact forces from collisions with obstacles, making robots suitable for unpredictable environments and safe for human-robot interaction. However, widespread application of soft robotics in daily life, business, and consumer products have not yet been achieved, because established robotic technologies, [...]