PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Scaling up Self Supervised Robot Learning

Newell Simon Hall 1507

Abstract Robot learning holds promise in alleviating several real world problems, by performing complex behaviors in complex environments. But what is the right way to train these robots? Our methods on self supervision shows encouraging results on several tasks like grasping objects, pushing objects and even flying drones. One key challenge with these methods is [...]

VASC Seminar
Ben Burchfiel
PhD Candidate
Duke

Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception

GHC 6501

  Abstract: Robot-object interaction requires several key perceptual building blocks including object pose estimation, object classification, and partial-object completion. These tasks form the perceptual foundation for many higher level operations including object manipulation and world-state estimation. Most existing approaches to these problems in the context of 3D robot perception assume an existing database of objects [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Planning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization

GHC 6501

Abstract: Robots have become increasingly adept at performing a wide variety of tasks in the world. However, many of these tasks can benefit tremendously from having more than a single robot simultaneously working on the problem. Multiple robots can aid in a search and rescue mission each scouting a subsection of the entire area in [...]

Staff Events

Staff Lunch

Newell-Simon Hall 3305

By Invitation Only - All Robotics Institute administrative support staff are invited to join us for our monthly lunch meeting. Speaker/topic to be announced.

VASC Seminar
Laurens van der Maaten
Research Scientist
Facebook AI Research

Two Tales about Image Classification

GHC 6501

Abstract: This talk tells two tales about image-classification systems, both of which are motivated by the real-world deployment of such systems. The first tale introduces a new convolutional neural network architecture, called multi-scale DenseNets, with the ability to adapt dynamically to computational resource limits at inference time. The network uses progressively growing multi-scale convolutions, dense [...]

RI Seminar
Deanna Gates
Assistant Professor
University of Michigan

Optimizing ankle prostheses to improve walking in transtibial amputees

NSH 1305

Abstract: With a prosthetic device, people with a lower limb amputation can remain physically active, but most do not achieve medically recommended physical activity standards and are therefore at a greater risk of obesity and cardiovascular disease. Their reduced activity may be attributed to the 10 - 30% increase in energetic cost during walking compared [...]

Special Events

RoboOrg Post-Seminar Reception

Newell-Simon Hall 1513

Join us after Deanna Gates' RI Seminar in RoboLounge and adjoining Newell-Simon Hall 1507 to socialise with the speaker and other member's of the RI community. There will be food and drinks for all! PSRs are a good time to let off some steam, meet new people, have engaging conversations, learn new things and most [...]

VASC Seminar
Hongdong Li
Reader/Associate Professor
Australian National University

Dense 3D Shape Reconstruction of Complex Dynamic Scene with a Single Monocular Camera 

GHC 6501

Abstract: In this talk, I will describe our recent work (presented at ICCV 2017) on monocular camera based 3D geometry reconstruction of a non-rigid dynamic scene.   We aim to answer an open question in multi-view geometry, namely, "Is it possible to recover the 3D structure of a complex dynamic environment from two image frames captured by [...]

VASC Seminar
Larry Zitnick
Research Lead
Facebook AI Research

Learning to Visually Reason

GHC 6115

Abstract: Visual reasoning is a core capability of artificial intelligence. It is a necessity for effective communication, planning, and for question/answering tasks. In this talk, I discuss some recent explorations into visual reasoning for question/answering, game playing and dialog. I also describe our new reinforcement learning platform ELF; an Extensive, Lightweight and Flexible research platform [...]