RGB-D: Advanced Reasoning with Depth Cameras

in conjunction with RSS 2011

Welcome to RGB-D 2011!!

Update: please check out the follow-up workshop RGB-D 2012 to be held on July 9 and 10, 2012, in conjunction with RSS 2012.

The camera-ready versions of the contributed papers, along with presentation materials, are available below and at the List of Papers.

RGB-D 2011 is a full-day workshop in conjunction with the Robotics Science and Systems (RSS) conference 2011, held on June 27, 2011, on Campus at the University of Southern California. This is a follow-up to the RGB-D 2010 workshop at last year's RSS. We seek to bring together ongoing research efforts on RGB-D cameras in robotics as well as contributions from related fields such as computer vision, graphics and machine learning.

The arrival of Microsoft Kinect, with $150 a unit and 8 million sales in two months, is causing a revolution across robotics research landscapes. Affordable RGB-D cameras, with real-time synchronized color and dense depth, are to dramatically improve and fundamentally change robots. capabilities to perceive and interact with people and environments. Last year's RGB-D workshop at RSS successfully brought together experts of converging interests from multiple research fields and discussed major RGB-D opportunities and challenges in robotics.

The goal of this workshop is to understand the scope and impact of the rapidly growing depth-camera-based research activities, to solicit and showcase in-progress depth-camera-based systems and applications, to clarify a research agenda for depth camera perception, and to coordinate efforts across communities to lead the emerging RGB-D revolution.

The list of organizers, invited speakers and program committee members is here.


Workshop Schedule

09:10am - 09:20am Welcome and Overview of RGB-D 2011!
09:20am - 09:50am Practical Mapping and Recognition Combining Color and Depth [slides][slides-with-video]
Xiaofeng Ren
Intel Labs and University of Washington
09:50am - 10:10am Perception and Control Challenges for Effective Human-Robot Handoffs [slides] [video]
Vincenzo Micelli, Kyle Strabala, Siddhartha Srinivasa
University of Parma and Carnegie Mellon University
10:10am - 10:30am Constraint-Based 3-DOF Haptic Rendering of Arbitrary Point Cloud Data [slides] [video]
Adam Leeper, Sonny Chan, Kenneth Salisbury
Stanford University
10:30am - 11:00am Coffee Break
11:00pm - 11:30pm Ongoing RGB-D Research at Willow Garage [slides]
Kurt Konolige
Willow Garage
11:30am - 11:50am Proximity Computations between Noisy Point Clouds using Robust Classification [slides]
Jia Pan, Sachin Chitta, Dinesh Manocha
UNC Chapel Hill and Willow Garage
11:50pm - 12:10pm Learning to Detect and Track People in RGBD Data
Matthias Luber, Luciano Spinello, Kai Arras
University of Freiburg
12:20pm - 01:30pm Lunch Break
01:30pm - 02:10pm Invited Talk
Martial Hebert
Carnegie Mellon University
02:10pm - 02:30pm Fast Sampling Plane Filtering and Indoor Mobile Robots [slides] [video (filtering)][video (localization)]
Joydeep Biswas, Manuela Veloso
Carnegie Mellon University
02:30am - 3:00pm 3D Perception using RGBD Cameras for Personal Assistant Robots [slides] [website]
Ashutosh Saxena
Cornell University
03:00pm - 03:15pm Coffee Break
03:15pm - 03:50pm Invited Talk
Johnny Lee
Google
03:50pm - 04:20pm Poster and Demo Spotlights
(Posters and demos have 90-second spotlights)
04:20pm - 05:30pm Poster and Demo Sessions
(List of posters and demos)
05:30pm - 06:00pm Discussions and Wrap-Up


Poster Presentations

P1: Using Kinect and a Haptic Interface for Implementation of Real-Time Virtual Fixtures [pdf] [video] [spotlight]
Fredrik Ryden, Howard Chizeck, Sina Nia Kosari, Hawkeye King, Blake Hannaford
University of Washington
P2: Segmentation and Analysis of RGB-D data [pdf] [spotlight]
Camillo Taylor, Anthony Cowley
University of Pennsylvania
P3: Pose estimation from a single depth image for arbitrary kinematic skeletons [pdf] [spotlight]
Daniel Ly, Ashutosh Saxena, Hod Lipson
Cornell University
P4: Realtime Visual and Point Cloud SLAM [pdf] [video] [spotlight]
Nicola Fioraio, Kurt Konolige
Willow Garage
P5: Using a Depth Camera for Indoor Robot Localization and Navigation [pdf] [video] [spotlight]
Joao Cunha, Eurico Pedrosa, Cristovao Cruz, Antonio Neves, Nuno Lau
University of Aveiro
P6: Simultaneous Localization and Mapping with People [pdf] [spotlight]
Philipp Robbel, Cynthia Breazeal, David Demirdjian
Massachusetts Institute of Technology
P7: Point Clouds and Range Images for Intent Recognition and Human-Robot Interaction [pdf] [video] [spotlight]
Richard Kelley, Amol Ambardekar, Liesl Wigand, Monica Nicolescu, Mircea Nicolescu
University of Nevada, Reno
P8: Real-time Mapping, Localization and Pose Determination using an RGBD Camera [pdf] [spotlight]
Ramin Rezaiifar, Stefano Soatto, Ashwin Swaminathan, Qi Xue, Piyush Sharma
Qualcomm and UCLA
P9: Towards a benchmark for RGB-D SLAM evaluation [pdf] [spotlight]
Juergen Sturm, Stephane Magnenat, Nikolas Engelhard, Francois Pomerleau, Francois Colas, Wolfram Burgard, Daniel Cremers, Roland Siegwart
TU Munich, University of Freiburg, ETH Zurich
P10: Collision Avoidance in Depth Space [pdf] [video] [spotlight]
Fabrizio Flacco, Torsten Kroeger, Allessandro De Luca, Oussama Khatib
University of Rome and Stanford University
P11: Holistic Shape Detection and Analysis using RGB-D Range Data for Grasping [pdf]
[spotlight] Karthik Mahesh Varadarajan, Kai Zhou, Markus Vincze
TU Vienna
P12: A RGB-D camera Based Navigation for the Visually Impaired [pdf] [spotlight]
Young Hoon Lee, Gerard Medioni
University of Southern California


Demo Presentations

D1: Demonstration of Haptic Rendering from Point Cloud Data [video] [spotlight]
Fredrik Ryden, Sina Nia Kosari, Howard Chizeck
University of Washington
D2: Real-Time Pose Estimation with RGB-D Camera [video] [spotlight]
Ivan Dryanovski, William Morris, Ravi Kaushik, Jizhong Xiao
City University of New York
D3: Human-Robot Collaboration using Micro-delegation and Gesture Recognition [video] [spotlight]
Jason Yosinski, Igor Labutov, Hod Lipson, Ashutosh Saxena
Cornell University
D4: Constraint-Based 3-DOF Haptic Rendering of Arbitrary Point Cloud Data [video] [spotlight]
Adam Leeper, Sonny Chan, Kenneth Salisbury
Stanford University
D5: Realtime ICP on a Kinect [video] [spotlight]
Nicola Fioraio, Kurt Konolige
Willow Garage
D6: A Scalable Tree-based Approach for Joint Object and Pose Recognition [spotlight] [website]
Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox
Universty of Washington and Intel Labs
D7: Labeling 3D Scenes for Personal Assistant Robots [pdf] [website]
Hema Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena
Cornell University


Call For Papers

We encourage and welcome contributions over a wide range of topics and in a variety of forms, on the use of RGB-D cameras in robotics and its connections to related fields such as computer vision, graphics, and machine learning.

Subjects of interest include, but not limited to:

Electronic submissions can be in the form of both extended abstracts (1-2 pages) and full papers (up to 6 pages). They can be either a presentation of work in progress or a summary of recent research advances. Video supplemental materials are encouraged. Selected contributions will be presented at the workshop as talks, spotlights and/or posters.

The submissions should be in the standard RSS format. Instructions and templates (Latex and Word) can be found on the RSS 2011 website: http://www.roboticsconference.org/authors.html

We encourage the submissions of live demos and working systems. A demo submission should be in the format of an extended abstract with recorded videos, under the DEMO category, separate from the main paper if any. Given sufficient interests, a special demo session will be organized at the workshop.


Important Dates

Submission site open April 5, 2011
Submission due May 18, 2011
Decisions and Final Program June 15, 2011
Camera-ready due June 26, 2011


Contact Information

For submission-related questions, please contact the workshop organizers through CMT.

For general information, please contact:

Xiaofeng Ren
xiaofeng.ren at intel.com

Computer Science and Engineering
University of Washington
Seattle, WA 98195

Phone: 1-206-543-2421
Fax:   1-206-543-2969

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