RGB-D: Advanced Reasoning with Depth Cameras

in conjunction with RSS 2011

Oral Presentations

Perception and Control Challenges for Effective Human-Robot Handoffs [slides] [pdf] [video]
Vincenzo Micelli, Kyle Strabala, Siddhartha Srinivasa
University of Parma and Carnegie Mellon University
Constraint-Based 3-DOF Haptic Rendering of Arbitrary Point Cloud Data [slides] [pdf] [video]
Adam Leeper, Sonny Chan, Kenneth Salisbury
Stanford University
Fast Sampling Plane Filtering and Indoor Mobile Robots
[slides] [pdf (plane filtering)][pdf (localization)] [video (filtering)][video (localization)]
Joydeep Biswas, Manuela Veloso
Carnegie Mellon University
Learning to Detect and Track People in RGBD Data [pdf]
Matthias Luber, Luciano Spinello, Kai Arras
University of Freiburg
3D Perception using RGBD Cameras for Personal Assistant Robots [slides] [website]
Ashutosh Saxena
Cornell University
Proximity Computations between Noisy Point Clouds using Robust Classification [slides] [pdf]
Jia Pan, Sachin Chitta, Dinesh Manocha
UNC Chapel Hill and Willow Garage

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