RI Seminar
Seth Hutchinson
Professor & KUKA Chair for Robotics
School of Interactive Computing, Georgia Institute of Technology

Design, Modeling and Control of a Robot Bat: From Bio-inspiration to Engineering Solutions

Gates Hillman Center 6115

Abstract: In this talk, I will describe our recent work building a biologically-inspired bat robot. Bats have a complex skeletal morphology, with both ball-and-socket and revolute joints that interconnect the bones and muscles to create a musculoskeletal system with over 40 degrees of freedom, some of which are passive. Replicating this biological system in a [...]

VASC Seminar
Minh Hoai Nguyen
Assistant Professor
Stony Brook University

Attentive Human Action Recognition

Gates-Hillman Center 8102

Abstract:  Enabling computers to recognize human actions in video has the potential to revolutionize many areas that benefit society such as clinical diagnosis, human-computer interaction, and social robotics. Human action recognition, however, is tremendously challenging for computers due to the subtlety of human actions and the complexity of video data. Critical to the success of [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Underwater Localization and Mapping with Imaging Sonar

NSH 3305

Abstract: Acoustic imaging sonars have been used for a variety of tasks intended to increase the autonomous capabilities of underwater vehicles. Among the most critical tasks of any autonomous vehicle are localization and mapping, which are the focus of this work. The difficulties presented by the imaging sonar sensor have led many previous attempts at [...]

RI Seminar
Pieter Abbeel
Professor
Director, Berkeley Robot Learning Lab & Co-Director, Berkeley Artificial Intelligence (BAIR) Lab, UC Berkeley

Deep Learning for Robotics

1305 Newell Simon Hall

Abstract: Programming robots remains notoriously difficult.  Equipping robots with the ability to learn would by-pass the need for what otherwise often ends up being time-consuming task specific programming.  This talk will describe recent progress in deep reinforcement learning (robots learning through their own trial and error), in apprenticeship learning (robots learning from observing people), and [...]

VASC Seminar
Xiaodong Yang
Principle Scientist
QCraft

Temporal Modeling and Data Synthesis for Visual Understanding

GHC 6501

Abstract: In this talk, I will present two recent pieces of work on leveraging temporal information and synthetic data to enhance video and image understanding. In the first part, I will introduce a progressive learning framework, Spatio-TEmporalProgressive (STEP), for action detection in videos. STEP is able to more effectively make use of longer temporal information, [...]

Field Robotics Center Seminar
Ioannis Pitas
Professor
Department of Informatics, Aristotle University of Thessaloniki

Multiple Drone Vision and Cinematography

3305 Newell-Simon Hall

Abstract: The aim of drone cinematography is to develop innovative intelligent single- and multiple-drone platforms for media production to cover outdoor events (e.g., sports) that are typically distributed over large expanses, ranging, for example, from a stadium to an entire city.  The drone or drone team, to be managed by the production director and his/her [...]

RI Seminar
Chung-Wei Lin
Assistant Professor
Department of Computer Science and Information Engineering (CSIE), National Taiwan University (NTU)

Modeling, Design, and Analysis for Intelligent Vehicles: Intersection Management, Security-Aware Design, and Automotive Design Automation

Newell-Simon Hall 4305

Abstract: Advanced Driver Assistance Systems (ADAS), autonomous functions, and connected applications bring a revolution to automotive systems and software. In this talk, several research topics in the domain of automotive systems and software will be introduced: (1) graph-based modeling, scheduling, and verification for intersection management, (2) security-aware design and analysis considering timing, game theory, and [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Open-world Object Detection and Tracking

NSH 3002

Abstract: Computer vision today excels at recognition in narrow slices of the real world. Our systems seem to accurately detect cats, cars, or chairs, but largely ignore the vast diversity of objects in the world that are absent from our training datasets. Perception in the open world, however, requires detecting and tracking any object, regardless [...]

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 [...]